Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic: TEPEN2024-IWFDP - Volume 2

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 intelligent, and machine learning. The contributions, which are selected through a rigorous international peer-review process, share exciting ideas that spur novel research directions and foster new multidisciplinary collaborations.

Table of Contents:
Analysis of Factors Influencing the Bottom Impact Safety Performance of Power Battery Systems.- Industrial Gearbox Fault Diagnosis Based on Vision Transformer and Infrared Thermal Imaging.- Optimized Fault Diagnosis Method for Wind Turbine Gearbox Using PSO based Neutrosophic K Nearest Neighbor Algorithm.- Short term Charging Load Prediction of Electric Vehicles based on K means Clustering WOA BP.- A Sparse Non stationary Time Series Model with Ensemble Basis for Gearbox Fault Detection under Variable Speed Conditions.- Fault diagnosis method of planetary gearbox based on digital twin of virtual and real data consistency.- Research on the Effect of Aero engine Connection Interface on Acoustic Emission Signals.- Digital Twin based Simulation and Virtual Real Mapping of Inspection Cell Robots.- A Review of Deep Learning Based Target Detection Algorithms.- A Review of Machine Learning Based Icing Prediction Methods for Wind Turbine Blades.- Acoustic Fault Identification in Maritime Vessels with limited Data using WGAN based Approach.- Dual channel sensor fault detection and isolation based on nonlinear Kalman filter.- Long-term load forecasting based on improved SABO optimization ELM.- Fault diagnosis method for rolling bearings based on CVAE GAN under limited data.- A Novel Time varying Structural Element for Morphological Filtering based Bearing Fault Diagnosis.- DTST MFN Enhancing Anomalous Sound Detection with Deep Temporal Features and Efficient Attention.- Speech Enhancement Method Based on Fusion Attention with Local Recurrence.- Fluid solid coupling vibration analysis of the wing of an underwater vehicle.- Optimal dispatch of microgrid based on demand side response.- Blind Source Separation Based on Neurally plausible alternating Optimization based Online Dictionary Learning (NOODL).- Research on Time Difference of Arrival TDOA Gas Leakage Source Localization Method Based on Improved Sparrow Algorithm.- Bearing fault diagnosis based on an improved morphological filter.- Fault Diagnosis of Rolling Bearing in Broad Learning System Based on Multi Domain Feature Selection.- A Fault Early Warning Method for Centrifugal Compressors Based on Multi Task Gaussian Processes.- Research on Fault Diagnosis Method for Rolling Bearings Based on Improved ConvNext V2.- Domain adaptive coding transfer diagnosis method and its application in fault diagnosis.- A weighted Short time Fourier Transform Acoustic Signals for Rotating Machinery Faults.- Enhancing Muscle Signal Analysis Insights from High Order Synchrosqueezing Wavelet Transform on Electromyography Signals.- A bearing fault diagnosis technique based on an optimized MCKD and Multi scale DSCN network.- Structural Damage Detection of Cracked Beams Based on Nonlinear Output Frequency Response Functions and Support Vector Machine.- Bearing Fault Detection Based on Parameters Optimized Stochastic Resonance.- The slippage model of outer ring faults in deep groove ball bearings induced by impact forces under load.- A long-term prediction method of gas concentration signal with noise in fully mechanized coal mining face using CEEMDAN combined with GRU.- Multi stage damage identification of elastically restrained plates based on singular value decomposition and Faster RCNN.- Few Shot Graph Neural Networks Framework incorporating DGAT for Planetary Gearbox Diagnosis.- Research on power control outer loop based on phase locking in grid-connected inverter.- Fault diagnosis of mechanical equipment using a distribution guided adversarial transfer network.- A Microscopic Damage Analysis Model  for the Matrix of 8Cr4Mo4V Alloy.- Compound Faults Weak Feature Extraction of Rolling Bearing Based on Parameters Optimized CYCBD.- A fuzzy variable weight hierarchical condition assessment method for marine gas turbine.- Research on the Modeling Method and Parameter Identification of Bolted Cylindrical Shell Structure Based on Thin layer Element Method.- Identification of Fatigue Cracks in a Stiffness Mistuned Blisk Based on Nonlinear Vibration Features.- A local synchrosqueezing based TFA post processing tool and application to bearing fault diagnosis.- A Real time Reduced Order Modeling Technique for Mistuned Bladed Disks at Variable Speeds.- Transfer fault diagnostics of planetary gearbox from steady to variable operating conditions.- SRP sound source localization algorithm based on BSO and joint weighting.- Experimental Study on Structural Damage Detection of Cracked Beams Based on Nonlinear Output Frequency Response Functions.- Effect of Double Cracks in Thin Plates on the Second Harmonic of Nonlinear Lamb Waves.- A Review of Application of Spiking neural networks in equipment fault diagnosis.- Semi-supervised proxy contrastive generalization network for bearing fault diagnosis.- Differentiating Sun Gear Fault Locations by integrating On Rotor Sensing with Tidal Cycle.- Analysis of contact and vibration characteristics of the planetary cylindrical roller bearing.- Research on Defect Measurement Method for Nuclear Components Based on Smooth Optimization Algorithm.- Power loss analysis of axle box bearing of High Speed Train excited by track irregularity and wheel flat.- Graded Metamaterial Beam for Flexural Wave Rainbowing Trapping and Multiband Energy Harvesting.