Proceedings of IncoME-VI and TEPEN 2021: Performance Engineering and Maintenance Engineering (Mechanisms and Machine Science, 117)

This volume gathers the latest advances, innovations and applications in the field of condition monitoring, plant maintenance and reliability, as presented by leading international researchers and engineers at the 6th International Conference on Maintenance Engineering and the 2021 conference of the Efficiency and Performance Engineering Network (IncoME-VI TEPEN 2021), held in Tianjin, China on October 20-23, 2021. Topics include vibro-acoustics monitoring, condition-based maintenance, sensing and instrumentation, machine health monitoring, maintenance auditing and organization, non-destructive testing, reliability, asset management, condition monitoring, life-cycle cost optimisation, prognostics and health management, maintenance performance measurement, manufacturing process monitoring, and robot-based monitoring and diagnostics. The contributions, which were selected through a rigorous international peer-review process, share exciting ideas that will spur novel research directions and foster new multidisciplinary collaborations. Preface Contents An Optical Gyroscope Based Technique for Calibrating Angular-Measuring Instrument 1 Introduction 2 Common Mathematical Error Model of the Single-Axis Induction Synchronizer 3 Comparision of Different Caliberation Methods 4 Testing of Inductosyn Angle Measuring Errors 5 Conclusion References Data Analysis for Predictive Maintenance Using Time Series and Deep Learning Models—A Case Study in a Pulp Paper Industry 1 Introduction 2 Related Work 3 Data Characterization and Pre-processing 3.1 Dataset and Framework 3.2 Data Characterization and Identification of Discrepant Data 3.3 Study of Correlations 4 Modelling Using Time Series 4.1 Autoregressive Model 4.2 ARIMA and SARIMA Models 5 Experiments and Results 5.1 Results of the Autoregressive Model 5.2 Results of the SARIMA Model 6 Discussion 7 Conclusion References Reinforcement Learning Fault Diagnosis Method Based on Less Tag Data 1 Introduction 2 Deep Reinforcement Learning 2.1 Markov Decision Process Modeling 2.2 Strategy 2.3 ε-Greedy Strategy 3 The Proposed Method 3.1 Stochastic Pooling 3.2 Exponential Linear Unit (ELU) 3.3 Enhanced Deep Convolution Self-encoder 3.4 Fault Diagnosis Method of Enhanced Convolution Self-encoder and Reinforcement Learning 4 Experiment and Verification 4.1 Feasibility Validation of Reinforcement Learning 4.2 Verify the Effectiveness of Stochastic Pooling and ELU 4.3 Discussion on the Number of Label Samples 5 Conclusion References Optimization Design and Simulation Analysis of Miniature Boring Machine Based on ADAMS 1 Design of Micro Boring Machine 1.1 Working Principle 1.2 Optimized Design 2 The Mechanical Principle of the Micro Boring Machine 3 Adams Dynamic Simulation Analysis 4 Conclusion References The Stability and Vibration Characteristic Optimization of the Pressure Shell of a Buoyancy Regulator of an Underwater Vehicle 1 Introduction 2 Finite Element Model 3 Simulation Results 4 Conclusions References Emulational and Experimental Research on a Sugarcane Field Excitation Device 1 Foreword 2 The 3-Dimensional Model of the Sugarcane Field Excitation Device 3 The Dynamics Model and the Mathematical Model of the Self-developed Sugarcane Harvester Test Bed with the Sugarcane Field Excitation Device 4 Rigid-Flexible Coupling Simulation Based on ADAMS 5 Experimental Research on the Sugarcane Field Excitation Device 6 Conclusions References Experimental Research on Influence Factors of the Sugarcane Ratoon Cutting Quality Under Vibration Conditions 1 Introduction 2 The Self-developed Sugarcane Harvester Experiment Platform 3 Evaluation Indexes 4 Orthogonal Experiments 5 Analysis for Interaction Effects on the Experiment Index 6 Conclusions References Research on the Influence of Changes in Particle Sizes on Simulation Results in the Simulation Test Based on the Discrete Element Method 1 Introduction 2 Theoretical Analysis 3 Test and Model Simulation 3.1 Determination of Physical Properties of Sands 3.2 Establishment of the Sand Particle Simulation Model 3.3 Experiment and Simulation 4 Conclusions References Wind Turbine Condition Monitoring Based on SCADA Data Co-integration Analysis 1 Introduction 2 Cointegration Theory 2.1 Auto Regression Model 2.2 Single Whole 2.3 Cointegration 3 Experiment Analysis 3.1 Experimental Data 3.2 Cointegration Model Establishment 3.3 Cointegration Model Verification 4 Conclusion References Improvement and Application of YOLOv3 for Smartphone Glass Cover Defect Detection 1 Introduction 2 Introduction of YOLOv3 2.1 YOLOv3 Detection Principle 2.2 YOLOv3 Network Framework 3 Improvements in YOLOv3 3.1 Channel Attention Mechanism SENet 3.2 Improvement of Feature Detection Network 3.3 Model Pruning 4 Experiments and Results Analysis 4.1 Experimental Platform 4.2 Experimental Results 5 Conclusion References Optimization and Design of Efficiency and Quality of a Company Based on Value Stream Analysis 1 Analysis of Workshop Status of Production Line 2 Optimization of Product Efficiency 2.1 Process Improvement 2.2 Rapid Die Change in Tablet Pressing Process 2.3 Process Operation Standardization 3 Optimization of Product Quality 3.1 Process Improvement 3.2 Solutions to Product Quality Problems 4 Conclusion References Review of Using Operational Modal Analysis for Condition Monitoring 1 Introduction 2 OMA Methods 2.1 Frequency-Domain Methods 2.2 Time-Domain Methods 2.3 Other Methods 3 Applications of OMA for CM 4 Summary References Vibration Analysis of the Rudder Drive System of an Underwater Glider 1 Introduction 2 Calculation of Gear Meshing Frequency of Actuator 3 Vibration Test and Analysis of Actuator System 4 Simulation Results 4.1 A Finite Element Model of Rudder Drive System 4.2 Modal Analysis Results of Rudder Drive System 5 Conclusions References Online Method for Assessment and Tracking of Wear in Kaplan Turbine Runner Blades Operating Mechanism 1 Introduction 2 Methods and Measuring Equipment 2.1 Instrumentation 2.2 Blade Angle Estimation 2.3 Lever Angle Uncertainty 3 Operating Mechanism Test 4 Joint Condition Assessment 4.1 Wear Measurement 5 Discussion 6 Conclusions References Bearing Fault Diagnosis Based on Improved Residual Network 1 Introduction 2 Methodology 2.1 2DCNN 2.2 Residual Network 2.3 Attention Mechanism 2.4 LSTM 3 Experiment 3.1 The Dataset 3.2 Experiment Description 4 Result and Analysis 5 Conclusion References Study on Optimization and Improvement of Production Line of H Product 1 Introduction 2 Production Status and Problem Analysis 2.1 The Introduction of H Product 2.2 Production Status of H Product 2.3 The Problem Analysis 2.4 Production Line Analysis Based on Flexsim 3 H Product Optimization and Improvement Plan 3.1 Improvement Scheme of the Appearance Inspection Engineering 3.2 Man–Machine Operation Improvement 4 Conclusion References Towards Data Driven Dynamical System Discovery for Condition Monitoring a Reciprocating Compressor Example 1 Introduction 2 Theoretical Background 3 Methodology 3.1 Mathematical Models 3.2 Synthetic Data Set 3.3 RC Models 3.4 SINDy 4 Results 5 Conclusions and Further Directions References Rolling Bearing Remaining Useful Life Prediction Based on LSTM-Transformer Algorithm 1 Introduction 2 An Introduction of the Related Techniques 2.1 LSTM Neural Network 2.2 Transformer Model 3 The Proposed LSTM-Transformer Technique 4 The Parametric Setting and Result Analysis 4.1 Dataset 4.2 The Evaluation Metrics 4.3 The Network Parametric Setting 4.4 Results and Discussion 5 Conclusion References Research and Application of Order Analysis Technology Without Tachometer Under Variable Speed Condition 1 Introduction 2 Order Analysis 2.1 Definition of Order Analysis 2.2 Second Order Specific Gravity Sampling 3 Short Time Fourier Transform 4 Research on Variable Speed Fault Diagnosis Method Without Speed Signal 4.1 Research Objects 4.2 Realization Principle of Order Analysis Without Tachometer 4.3 An Example of Bearing Fault Diagnosis 5 Conclusion References Simulation Analysis of Tooth Surface Wear Considering Axis Parallelism Error 1 Introduction 2 Tooth Contact Analysis Model Considering Axis Parallelism Error 2.1 Contact Clearance 2.2 Numerical Calculation Model 3 Wear Modelling 4 Results and Discussion 4.1 Tooth Contact Analysis Considering Axis Parallelism Error 4.2 Wear Analysis Considering Axis Parallelism Error 5 Conclusions References A TFG-CNN Fault Diagnosis Method for Rolling Bearing 1 Introduction 2 Method 2.1 Time–Frequency Graph 2.2 Convolution Neural Network 2.3 The Diagnostic Flowchart of TFG-CNN 3 Results and Discussion 3.1 Accuracy of the TFG-CNN 3.2 Effect of Sample Size on TFG-CNN 3.3 Anti-noise Ability of the TFG-CNN 3.4 Variable Load Adaptability of the TFG-CNN 4 Conclusion References A Gas Turbine Gas Path Digital Twin Modeling Method 1 Introduction 2 Method 2.1 Nonlinear Steady-State Twin Model of Gas Turbine 2.2 Component Characteristics Correction Method 2.3 Differential Evolution Optimization Algorithm 3 Forward Problem Study: Gas Turbine Performance Simulation 3.1 Construction of the Steady-State Twin Model 3.2 Gas Turbine Performance Simulation Process 3.3 Simulation Results 3.4 Gas Turbine Performance Degradation Model 4 Inverse Problem Study: Gas Path Diagnosis 4.1 Gas Turbine Diagnostic Model 4.2 Gas Turbine Diagnostic Results 5 Conclusion References Small Sample MKFCNN-LSTM Transfer Learning Fault Diagnosis Method 1 Preface 2 The Spatial Multi-scale Feature Learning of MKFCNN 3 Time Feature Learning of LSTM 4 Fault Diagnosis Process of Planetary Gearbox Based on MKFCNN-LSTM Transfer Learning 5 Experimental Verification Analysis 5.1 Obtain Rolling Bearing Data of Source Western Reserve University 5.2 Obtaining Vibration Data of Planetary Gearbox in Target Area 5.3 Fault Diagnosis Analysis of Planetary Gearbox in Small Sample Scene 5.4 Comparative Analysis of Diagnostic Methods 5.5 Visual Effect of All Kinds of Fault Diagnosis by Confusion Matrix 5.6 Visual Learning Results of Fault Features Based on T-SNE 6 Conclusion References Prediction of Sensor Values in Paper Pulp Industry Using Neural Networks 1 Introduction 2 Literature Review 3 Methods 3.1 Dataset and Data Preprocessing 3.2 ANN Architecture 4 Experiments and Results 5 Conclusion References YOLOV4-Based Wind Turbine Blade Crack Defect Detection 1 Preface 2 Dataset 2.1 Wind Turbine Blade Defect Marking System 2.2 Build Dataset 3 Algorithm 3.1 Clustering Analysis 3.2 BiFPN 3.3 Focal Loss 4 Experiments and Data Analysis 4.1 Algorithm Evaluation Indicators 4.2 Detection Result of Crack Defects 4.3 Comparative Experiment 5 Conclusion 5.1 A Subsection Sample References State-of-Art of Metal Debris Detection in Online Oil Monitoring 1 Introduction 2 Online Metal Debris Detection Technology 2.1 The Main Principles for Online Metal Debris Detection Technology 2.2 State-of-Art of Inductive Metal Debris Sensor 3 The Debris Detection Sensor We Developed 4 Conclusion References Regression Prediction of Performance Parameters in Ship Propulsion Equipment Simulation Model Based on One-Dimensional Convolutional Neural Network 1 Introduction 1.1 Data Set 1.2 One-Dimensional Convolutional Neural Network 2 One-Dimensional Convolutional Neural Network Model Construction 2.1 Build a Variety of CNN Model Structures 2.2 Data Preprocessing 2.3 Model Training and Verification Parameter Settings 3 Results and Discussion 3.1 Regression of GT Compressor Decay State Coefficient 3.2 Regression of GT Turbine Decay State Coefficient 3.3 Double Decay State Coefficient Regression 3.4 Discussion References Research on Numerical Simulation Study of Solidification Heat Transfer Coefficient of Extra-Wide Slab 1 Technical Characteristics and Related Parameters of the Casting Machine 2 Establishment of Solidification Heat Transfer Model 2.1 Fundamental Assumption 2.2 Selection of Physical Parameters and Boundary Conditions 3 The Results and Analysis of Simulation 3.1 Research on Temperature Distribution of Upper Surface Center of Casting Billet 3.2 Simulation of the Temperature Field Distribution 3.3 Simulation of Temperature Distribution When the Billet Speed is 1.20 m min−1 3.4 Simulation of Temperature Distribution in the Center of Casting Billet at Different Casting Speeds 3.5 Simulation of Thickness Distribution of Billet Shell 3.6 Simulation Results of Different Superheat Degree 4 Conclusion References Numerical Study of Motor Electrical Signature for Condition Monitoring of Gear Tooth Breakage in a Motor-Gear System 1 Introduction 2 Dynamic Model of a Motor-Gear System 2.1 Induction Motor Dynamic Model 2.2 Gearbox Dynamic Model 2.3 Coupling Between Motor Model and Gearbox Model 2.4 Numerical Solutions of the Model 3 Effect of Electric Dynamics on System Responses 3.1 Torque Differences 3.2 Speed Differences 3.3 Gear Torsional Responses 4 Simulation of Tooth Breakage 4.1 Tooth Breakage in the First Stage of Gearbox 4.2 Tooth Breakage in the Second Stage of Gearbox 4.3 Tooth Breakage in Both Stage of Gearbox 5 Experimental Validation 6 Conclusion References Analysing the Fault Behavior of a Complex Mechanical System for Diagnosis: A Bond Graph-Based Approach 1 Introduction 2 Example: Engine Lubrication System 3 Fault Behavior Analysis Using Bond Graph-Based Approach 3.1 Modeling the System Dynamic Behavior Based on Bond Graph 3.2 Analysing the Parameters Response Characteristics Using Temporal Causal Graph 4 Experimental Validation 5 Conclusions References Dynamic Responses of Clearance Induced Impacts in Big End Bearing Condition Monitoring of Diesel Engines 1 Introduction 2 Dynamics and Kinematics of Piston-Connecting Rod—Crank Assembly 2.1 Vibro-Impact Analysis of the Big End Bearing Clearance Model 2.2 Methodology of Numerical Simulation 3 Results and Discussion 3.1 Effect of Torque on Bearing Performance 3.2 Effect of Speed on the Bearing Performance 3.3 Effect of Radial Clearance on Bearing Performance 3.4 Simulated Vibration Signal Analysis Using FRF 4 Conclusion References Impeller Wear Diagnosis in Centrifugal Pumps Under Different Flow Rate Based on Acoustic Signal Analysis 1 Introduction 2 Sources of Hydraulic and Mechanical Noise 2.1 Hydrodynamic Relationships Between Impeller Flow and Volute 2.2 The Circulation of a Vortex 2.3 Cavitation 2.4 Wear by Fluid Velocity 2.5 Pressure Pulsations 3 Fault Simulation 4 Test Procedure 5 Results and Discussion 5.1 Impact Impeller Wear on Performance Carve 5.2 Time Domain of Acoustic Signals 5.3 Spectrum of Acoustic Signals 5.4 Impeller Inlet Vane Defect Detection Based MSB Analysis 6 Conclusion References s Fault Diagnosis for Gas Turbine Rotor Using MOMEDA-VNCMD 1 Introduction 2 Methods 2.1 A Brief Introduction of MOMEDA 2.2 A Brief Introduction of VNCMD 2.3 Fault Diagnosis Based on MOMEDA-VNCMD Method 3 Data Analysis and Verification 3.1 Data Acquisition of Gas Turbine Rotor Failure 3.2 Analysis of VNCMD-MOMEDA Method 4 Conclusion References Classification and Recognition Method of Bearing Fault Based on SDP-CNN 1 Introduction 2 Symmetry Dot Pattern (SDP) 3 Convolutional Neural Network (CNN) 4 Fault Classification Model 5 Case Analysis 6 Conclusion References Spindle Health Assessment Based on Rotor Perception 1 Preface 2 Spindle Dynamics Modeling 2.1 Build a Three-Dimensional Model 2.2 ANSYS Workbench Modal Analysis 3 Vibration Signal Acquisition and Signal Processing 3.1 Signal Acquisition 3.2 Using MSB Method for Signal Processing 4 Spindle Rotation Accuracy Test 5 Conclusion References Fault Diagnosis of Rolling Bearing Based on Wavelet Packet Decomposition and SVM-LMNN Algorithm 1 Introduction 2 Method 2.1 Wavelet Packet Decomposition 3 The Establishment of SVM Bearing Fault Classification Model 3.1 Rolling Bearing Fault Classifier Selection 3.2 Selection of Kernel Function for Bearing Fault Diagnosis Classification 3.3 Fault Diagnosis Model of Rolling Bearing Based on SVM-LMNN Algorithm 4 Results 4.1 Experimental Verification and Simulation Analysis 5 Discussion 5.1 Conclusion References Fine-Tuning and Efficient VGG16 Transfer Learning Fault Diagnosis Method for Rolling Bearing 1 Introduction 2 VGGNet Basic Principles 3 Model and Preprocessing 3.1 Fine-Tuning Model 3.2 Bearing Database 3.3 Data Preprocessing 4 Experiment and Results 4.1 Different Size Images Training 5 Discussion References An Investigation of Unsupervised Data-Driven Models for Internal Combustion Engine Condition Monitoring 1 Introduction 2 Literature Review on Machine Learning Algorithms 3 Unsupervised Data-Driven Models for Online Fault Detection 3.1 Principle Component Analysis 3.2 Sparse Autoencoder 3.3 Fault Detection Health Indicator Based on Mahalanobis Distance (MD) 4 Experimental Setup 5 Case Study and Discussion 5.1 Misfire Detection and Diagnosis 5.2 Lubrication System Filter Blocking Detection and Diagnosis 5.3 Discussion 6 Conclusions References Online Pipe Leakage Detection Using the Vibration-Based Wireless Sensing System 1 Introduction 2 Design of Wireless Vibration Sensing System 2.1 Wireless Vibration Sensing Node Design 2.2 Monitoring Application Design 3 Leakage Detection of Domestic Water Piping Systems 4 Results and Discussion 4.1 Results at Position 1 (P1) 4.2 Results at Position 2 (P2) 4.3 Evaluation of the Designed Remote CM System 5 Conclusions References Meta-Learning Guided Few-Shot Learning Method for Gearbox Fault Diagnosis Under Limited Data Conditions 1 Introduction 2 Preliminaries 2.1 Problem Definition 2.2 Metric-Based Meta-Learning 3 Theoretical Framework 3.1 Embedding Mapping 3.2 Episodic Learning Procedure 3.3 The Workflow 4 Experiment 4.1 Data Preparation 4.2 Experimental Setup 4.3 Result and Analysis 4.4 Visualization Analysis 5 Conclusion References Investigation into LSTM Deep Learning for Induction Motor Fault Diagnosis 1 Introduction 2 Methodology 2.1 LSTM Theory 2.2 Adopted LSTM Structure 3 Test Scenes Setup and Generated Datasets 3.1 Test Scenes Setup 3.2 Generated Datasets 4 LSTM Data Modelling and Results Analysis 4.1 Dataset Preparation 4.2 Results and Analysis 5 Conclusion References Degradation Trend Construction of Aircraft Engine Using Complex Network Model 1 Introduction 2 Method 2.1 Degradation Condition Division 2.2 Complex Network Modeling 2.3 Dynamic Modeling 3 Experiment 4 Conclusions References Research on the Influence of Mesh Stiffness of Fixed Gearbox with Chipping Fault 1 Introduction 2 Time-Varying Mesh Stiffness Calculation of Healthy Tooth 2.1 Mesh Stiffness Calculation 2.2 The Angular Displacements Relation of the Meshing Gears 2.3 Relation of Mesh Stiffness and Angular Displacement 3 Time-Varying Mesh Stiffness Calculation of Pinion with a Chipped Tooth 3.1 Mesh Stiffness Calculation of Pinion with a Chipped Tooth 3.2 Mesh Stiffness Calculation of Pinion with a Chipped Tooth 4 Mesh Stiffness of Fixed-Shaft External-Internal Gears 5 Conclusions References Damage Diagnosis of Railway Vehicle Car Body Based on Strain Modes 1 Introduction 2 Strain Mode Theory 3 Strain Mode Analysis of EMU Car Body 4 Conclusion References A Chip Defect Detection System Based on Machine Vision 1 Introduction 2 Related Technology Introduction 2.1 Machine Vision Stand 2.2 HALCON 2.3 Template Matching 2.4 Blob Analysis 2.5 Man–Machine Interface Development 3 The System Design 3.1 Overview of Overall System Design 3.2 The Principle and Flow Chart of Chip Defect Detection 3.3 The Realization of Chip Surface Scratch Defect Detection. 3.4 The Realization of Chip Pin Defect Detection 3.5 The Realization of Chip Shape Defect Detection 4 System Implementation 4.1 Hardware Platform Implementation 4.2 The Realization of Software System 5 System Application Display 6 Conclusion References A Bayesian Probabilistic Score Matrix Based Collaborative Filtering Recommendation System for Rolling Bearing Fault Identification 1 Introduction 2 Collaborative Filtering Recommendation Algorithm Based on Joint Score Matrix for Bearing Fault Identification 3 Bayesian Probabilistic Scoring Matrix 4 Performance Verification 5 Conclusions References On-Line Monitoring of the Dimensional Error in Turning of a Slender Shaft 1 Introduction 2 Dimensional Error Model 3 Method for the Radial Deformation In-Process Monitoring 3.1 Equation of the Workpiece Deflection 3.2 Correlation Between Deformation at Measuring Point and Cutting Point 4 Experimentation and Discussion 4.1 Experimental Setup 4.2 Results and Discussion 5 Conclusions References Research on Feature Extraction and Recognition of Dongba Hieroglyphs 1 Introduction 2 Recognition System of Dongba Pictograph 2.1 The Principle of Dongba Pictograph Recognition 3 Feature Extraction of Dongba Pictograph 3.1 Topological Feature Extraction 3.2 Grid Feature Extraction 4 Recognition of Character Symbol 4.1 Template Matching 4.2 Neural Network Identification 5 Experimental Results 6 Conclusion References Study on Feature Extraction of Gearbox Vibration Signal for Wind Turbines 1 Introduction 2 Principle of ICA Analysis 3 Application of Fault Feature Extraction Method Based on EMD and ICA 3.1 The Principle of the Method Combined with ICA and EMD 3.2 Simulation Analysis and Experimental Verification of EMD and ICA 4 Conclusions References Condition Monitoring of a Reciprocating Air Compressor Using Vibro-Acoustic Measurements 1 Introduction 2 Key Properties of Vibroacoustic in RC 2.1 Vibration Characteristics of Healthy RC 2.2 Acoustics Characteristics of Healthy RC 2.3 Vibro-Acoustics of RC for Faulty Conditions 3 Result and Discussion 3.1 Vibration Based Diagnosis 3.2 Acoustics Based Diagnosis 4 Conclusion References Application of Combined Normalized Least Mean Square and Ensemble Empirical Mode Decomposition Denoising Method in Fault Diagnosis of Rolling Bearings 1 Introduction 2 Basic Theories 2.1 Normalized Least Mean Square 2.2 Ensemble Empirical Mode Decomposition 3 Application of Combined NLMS and EEMD Denoising Method 4 The Simulation Analysis 5 Experiment Verification 6 Conclusion References Rolling Bearing Fault Diagnosis Based on Weighted Variational Mode Decomposition and Cyclic Spectrum Slice Energy 1 Introduction 2 Basic Theories 2.1 Variational Mode Decomposition 2.2 Wighted Reconstruction of IMFs 2.3 Spectral Correlation Density Slice Energy 3 Algorithm Flow of Weighted Variational Mode Decomposition and Cyclic Spectrum Slice Energy 4 Simulation Verification 5 Experimental Analysis 6 Conclusion References Nonlinear Dynamic Analysis of a Planetary Gear System with Sun Gear Fault 1 Introduction 2 Dynamic Model of the Planetary Gear System 2.1 Parameters Definition 2.2 Dynamic Differential Equations 3 Numerical Simulation and Result Analysis 3.1 Response Characteristics of the Systems with Excitation Frequency 3.2 Response Characteristics of the Systems with Backlash 4 Conclusions References A Fault Diagnosis Method for Rolling Bearings Based on Improved EEMD and Resonance Demodulation Analysis 1 Introduction 2 Methodology 2.1 Resonance Demodulation Algorithm 2.2 Ensemble Empirical Model Decomposition 2.3 Kurtosis and Cross-Correlation Coefficient 3 Improved EEMD Decomposition Algorithm 4 Experiment and Analysis 4.1 Data Sources 4.2 Data Analysis Based on Fixed Bandwidth 4.3 Data Analysis Based on Improved EEMD 5 Conclusion References A Study on the Contact Characteristics of a Planetary Centrifugal Vari-Speed Drive 1 Introduction 2 Dynamic Modeling 3 Results and Discussions 4 Conclusions References The Fatigue Failure Prediction of a Vari-Speed Drive with Different Rollers 1 Introduction 2 Failure Description of Vari-Speed Drive 3 Simulation Method Descriptions 3.1 A 3D Model 3.2 Contact Stress 3.3 Result Analysis 4 Fatigue Life Prediction 4.1 Rain Flow Counting Method 4.2 Fatigue Life 5 Conclusions References State of Health Estimation of Lithium-Ion Batteries from Charging Data: A Machine Learning Method 1 Introduction 2 Dataset and Degradation Feature Extraction 2.1 Dataset 2.2 Degradation Feature Extraction 3 Methodology 3.1 Long Short Term Memory 3.2 Evaluation Metrics 4 Results and Discussions 5 Conclusions References Harmonic Response Analysis of a Dual-Rotor System with Mass Unbalance 1 Introduction 2 Finite Element Model Construction of Dual-Rotor System 2.1 Physical Model 2.2 Finite Element Model of the Dual-Rotor System 2.3 Unbalanced Excitation 3 Simulation 3.1 Calculation of Critical Speed Characteristic of Dual-Rotor System 3.2 Harmonic Resonance 4 Conclusions and Discussions References A Novel Method for Stacking Optimization of Aeroengine Multi-stage Rotors Based on 3D Deviation Prediction Model 1 Introduction 2 3D Deviation Prediction Model 2.1 Establishment of Coordinate Systems 2.2 Coordinate Transformation of Rotors 2.3 3D Deviation Prediction Model with Phase Adjustment 3 Stacking Optimization Method 3.1 Simulation and Fitting of Runout Data 3.2 Stacking Prediction of a Four-Stage Rotor 3.3 Dual-Objective Integer Stacking Optimization 4 Conclusion References A Sensor Fault Identification Method Based on Adaptive Particle Swarm Optimization Support Vector Machine 1 Introduction 2 An Improved Particle Swarm Optimization Algorithm 3 Fault Identification Method Based on APSO-SVM 3.1 Establishment of APSO-SVM Model 3.2 APSO Algorithm Optimization of SVM 4 Experimental Analysis 4.1 Comparison of Classification Results of Different Classifiers 4.2 Performance Comparison of Classifiers 5 Conclusion References Correlation Analysis of Sensor Fault Based on Fuzzy Petri Net and Apriori Algorithm 1 Introduction 2 Fuzzy Petri Net 2.1 Definition of Fuzzy Petri Net 2.2 Fuzzy Petri Net Representation of Production Rules 3 Data Acquisition 3.1 Raw Data Acquisition 3.2 Feature Extraction and Residual Calculation 4 Fault Correlation Analysis 4.1 Association Rules 4.2 Apriori Data Mining Algorithm 4.3 Experimental Platform Verifications 5 Conclusion Appendix References Review on Simulation and Optimization of Vehicle Ride Comfort Based on Suspension Model 1 Introduction 2 Rigid and Rigid-Flexible Coupling Suspension Models 2.1 Rigid Suspension Models 2.2 Rigid-Flexible Coupling Suspension Models 3 Multi-objective Optimization Based on Suspension Models 3.1 Multi-objective Optimization Using NSGA-II Algorithm 3.2 Multi-objective Optimization Using Other Algorithms 4 Conclusions and Prospect References The Application of ADAMS Software to Vehicle Handling Stability: A Review 1 Introduction 2 Research on Handling Stability Based on Suspension Structure Design 3 Research on Handling Stability Based on Optimization of Suspension Parameters 4 Summary and Outlook References Analysis and Decompose of Nine Degrees of Freedom Motion Simulator Relative Positional Precision 1 Introduction 2 The Simulator 3 Analysis of Influencing Factors 4 Comprehensive Position Index Influence Analysis 4.1 Turntable Disjoint Degree 4.2 Non-Verticality of the Turntable 4.3 Three-Dimensional Linear Motion 4.4 Index Decomposition 5 Conclusions References A Study on Vibration Response in the Baseplate of a Delta 3D Printer for Condition Monitoring 1 Introduction 2 Literature Review 3 Experiment Methodologies 3.1 Experimental Cases Analysis 3.2 Experimental Preparation 4 Data Analysis 4.1 Different Phases with the Same Case 4.2 Same Phase with Two Different Cases 4.3 Same Phase with Different Cases Within Three Detail Points 5 Conclusion References Analysis of Metamaterials-Based Acoustic Sensing Enhancement 1 Introduction 2 Methodology 2.1 Metamaterials Unicell Design 2.2 Gradient Unicell Design 2.3 Periodic Structure Design 3 Numerical Simulation Analysis 3.1 Gradient Metamaterial Acoustic Signals Magnification 3.2 Combined Metamaterials Acoustic Signals Magnification 4 Conclusion References A Novel Cylindrical Mechanical Metastructure for Drone Vibration Isolation 1 Introduction 2 Vibration Characteristics of Drone System 3 Metastructure and Fabrication 3.1 Structural and Design Parameters 3.2 Fabrication via Additive Manufacturing Technology 4 Experiments 5 Data Analysis and Discussion 5.1 Mechanical Properties of the CMMS 5.2 Vibration Isolation Performance of the CMMS with Different Combinations 6 Conclusions References Design and Simulation of Broadband Piezoelectric Energy Harvester with Multi-Cantilever 1 Introduction 2 Structure and Analysis of Piezoelectric Cantilever 2.1 Theoretical Analysis of Cantilever Structure 2.2 Finite Element Simulation Analysis 3 Energy Harvester with Multi-Cantilever 3.1 Structure of Energy Harvester 3.2 Broadband Characteristics of Energy Harvester with Multi-Cantilever 4 Energy Harvesting Circuit 4.1 Circuit Design 4.2 Circuit Analysis 5 Conclusion References A Mobile Pipeline Leak Monitoring Robot Based on Power Spectrum Correlation Analysis and Sound Pressure Location 1 Introduction 2 Characteristics of Leakage Noise 3 Experimental Scene 4 Power Spectrum Correlation Analysis to Identify Leakage 5 Sound Pressure Location of Leakage Source 6 Conclusion References A Review of Acoustic Emission Monitoring on Additive Manufacturing 1 Introduction and Application Trend of Additive Manufacturing 2 Principle, Development and Application of Acoustic Emission 3 Acoustic Emission Phenomenon in Additive Manufacturing 3.1 Melting Phase Transformation Process 3.2 Pressure and Tensile Test 3.3 Stereo Lithography Appearance Process 3.4 Stacking Process: Warpage, Deformation, Fracture, Shrinkage 4 Application of Acoustic Emission in Additive Manufacturing 4.1 Machine Condition Monitoring 4.2 Fault Classification and Degree Evaluation 4.3 Fault Location 5 Conclusion References Modelling and Vibration Signal Analysis for Condition Monitoring of Industrial Robots 1 Introduction 2 Background: The Industrial Robot and Accelerometer 2.1 The Industrial Robot 2.2 Three-Axis Accelerometer 3 EMA Experiments and FRF Behaviour 4 Experiment Facilities of Condition Monitoring on IR 5 Results and Discussion 6 Conclusion References Study on Fault Mode of Hybrid Electric Vehicle 1 Significance of the Study on Fault Mode and Fault Law of Electric Vehicles 2 Research Methods and Technical Routes Adopted 2.1 Assessment and Evaluation of Automobile Reliability 2.2 Fault Statistics and Pattern Identification 2.3 Fault Mode Analysis Method 2.4 Commonly Used Vehicle Fault Theory Distribution 3 Fault Collection and Analysis of Hybrid Electric Vehicle in Demonstration Operation 3.1 Operating Status and Configuration of Operating Vehicles 3.2 The Acquisition Scheme of Fault Data 3.3 Failure Data Analysis of Operating Vehicles 4 Conclusion References A New Two-Dimensional Condition-Based Maintenance Model by Using Copulas 1 Introduction 2 The Joint Distribution of Condition Indicator and Reliability Index 3 Conditional Based Maintenance 4 Numeric Example 5 Conclusion References Rotary Valve to Improve the Problem of Big End and Needle Glue Overflow in Contact Dispensing Process 1 Introduction 2 Problems with Traditional Dispensing Methods 2.1 Syringe Air Pressure 2.2 Striker Valve 2.3 Screw Valve 3 Introduction of Rotary Dispensing Valve 3.1 Rotary Valve 3.2 Operating Principle 3.3 The Characteristics of Rotary Valve 3.4 Process Paramet