Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic
Springer International Publishing (Verlag)
978-3-031-70234-1 (ISBN)
This book gathers the latest advances, innovations, and applications in the field of efficiency and performance engineering, as presented by leading international researchers and engineers at the TEPEN International Workshop on Fault Diagnostics and Prognostics (TEPEN-IWFDP), held in Qingdao, China on May 8-11, 2024. Topics include machine and structural health monitoring, non-destructive testing and fault detection, diagnostic and prognostic for both operational and manufacturing processes, maintenance optimization and asset management, smart metamaterials and metastructures, artificial intelligence, and machine learning. 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.
Nonlinear Process Fault Detection Based on Crayfish Optimization Algorithm with MKPCA.- A Real Time Fall Detection System Based on MoveNet and LSTM.- Stochastic Faults Model of Integrated Electricity gas Energy Systems Based on Epidemic Model.- Field Estimation of Dynamic Coefficients of Journal Bearing under Transient Operations.- Multiple Source Domain Transfer Fault Diagnosis Method in Rolling Bearing Under Variable Working Conditions.- Short term Wind Power Prediction Based on OLHS DBO BP Neural Network.- Self powered Multifunctional Artificial Skin Inspired by Human Skin.- Mechanical Fault Diagnosis of High Voltage Circuit Breaker based on Autoencoder and Metric Learning.- Research on Self-powered Sensors Based on Piezoelectric Energy Capture.- Sensorless Control of PMSM Based on Sliding Mode Observer.- Experimental Study on Fault Diagnosis of Wind Turbine Blades Based on Acoustics.- Research on Visual Algorithm for Fire Detection of Firefighting UAVs Based on Infrared Imaging.- Reliability Modeling and Analysis of Elevator Brake Based on KDF Model Optimization.- Comparison of the impact of symbol aggregation approximation encoding and multiscale encoding on Lempel Ziv complexity results.- Marker assisted 3D Vibration Visual Measurement with a Single Camera.- Electrochemical Impedance Spectroscopy Characterization of Sodium ion Batteries with Different Operating States.- Importance Analysis Based on Evidence Theory and Bayesian Network Reasoning.- A New Method for Calculating Meshing Stiffness of Spur Gears Considering Misalignment with Multiple Degrees of Freedom.- Research on CNN Attention Regression Prediction Method Based on GOA Optimization.- SOC Estimation of Lithium Battery Based on Fractional Order AUKF Algorithm.- Digital Twin based Service System Platform.- Grid Maintenance Optimization Based on Particle Swarm Optimization.- Condition Monitoring of Railway Vehicle Suspension System Based on PCA SVM Method.- A Rolling Bearing Remaining Life Prediction Method Based on Wiener Process Data Model Integration in the Context of Mechanical Fault Diagnosis.- Reliability Study of Critical Components of Urban Rail Vehicle Based on Improved SCSO Algorithm.- Small Sample Fault Diagnosis Method of Point Machine Based on Improved Relation Network.- Relationship between the Eddy Current Probe Size and the Flaw Size for Flaw Detection A Numerical Study.- Fault Diagnosis of Train Bogie Bearing Based on AP Tensor Clustering under Multichannel Data.- Fault Diagnosis of Switch Machine Based on Hierarchical Dispersion Entropy and SSA SVM.- Adaptive Multi-Domain Feature Fusion Remaining Useful Life Prediction of Rolling Bearings Using Temporal Convolution Long Short Term Memory Network.- Optimization of Power Output Ratio for Micro Grid System with Renewable Generation and Energy Storage.- Use Anchor-free Based Object Detectors to Detect Surface Defects.- Bearing Fault Diagnosis Method Based on Multi Scale Dilated Convolution Under Various Noise Conditions.- Aircraft Engine Remaining Useful Life Prediction Using Attention based Convolutional Neural Network - Gated Recurrent Unit.- Research on the Mechanism of Rolling Bearing Dynamic System Considering Lubricant Changes.- Remaining Life Prediction Method for Rolling Bearings Based on RLMD-SCINet.- Similarity Remaining Life Prediction Method Based on Multiscale Feature Fusion.- Dynamic Data Reconciliation of Gas Turbine Based on PCA-LSTM.- Small Sample Fault Diagnosis for UAV Based on Siamese Network with Multiple Similarity Loss.- Gearbox Fault Diagnosis Based on Fast Iterative Filtering Decomposition and Modified Permutation Entropy.- Defect Detection of Transmission Lines Based on Fusion of Thermal Imaging Information.- Dynamic Response Analysis of Faulty Slewing Bearing with Three Dimensional Localized Defects Under Offset Load Conditions.- Evaluation Method for Utilizability of Decommissioned Power Battery Trapezoidal Utilization.- Optimized Operation of Multiple Microgrids Based on Carbon Ecological Monitoring Mechanism.- Enhanced Diagnosis of Wind Turbine Main Bearing Faults through Fusion of Multi-Source Signals with a Hybrid MTF-CNN-NSGAII Approach.- A Gas Turbine Gas Path Fault Feature Extraction Method Based on Association Network.- Link Prediction in Knowledge Graph with Feature Enhancement.- Secure Multi-party Computation of Intersection Potential and Intersection Sum without Full Set under the Malicious Model.- Secure Judgment of Line Segments Intersection Under the Malicious Model.- A Bearing Feature Extraction Method based on Variational Mode Decomposition Feature Energy Entropy.- Active Disturbance Rejection Pitch Control of Floating Fan Based on Improved Sparrow Algorithm.- Fault Diagnosis of Rolling Bearings Under Variable Speed Conditions Based on Order Analysis.- MS YOLO An Improved Lightweight Transmission Line Insulator Defect Detection Algorithm Based on YOLOv8.- Grapevine Leaves Recognition Based on IP ShuffleNet.- Workshop Worker Pose Estimation Method Based on Spatio Temporal Cross Attention.
| Erscheinungsdatum | 04.09.2024 |
|---|---|
| Reihe/Serie | Mechanisms and Machine Science |
| Zusatzinfo | IX, 631 p. 393 illus., 322 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Technik ► Maschinenbau |
| Schlagworte | Asset Management • Condition Monitoring • diagnostic engineering • Machine Health Monitoring • Manufacturing Processes • Plant Maintenance • Reliability |
| ISBN-10 | 3-031-70234-4 / 3031702344 |
| ISBN-13 | 978-3-031-70234-1 / 9783031702341 |
| Zustand | Neuware |
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