This book presents select proceedings of the 3rd World Congress on Condition Monitoring (WCCM 2024). It examines condition monitoring methods, including vibration, acoustics, optics, electromagnetism, infrared thermal imaging, guided waves, stress, etc. The topics covered include signal detection and processing, condition monitoring instrumentation and methods, diagnosis, assessment and prediction, and advanced condition monitoring technology. The book also discusses the various applications of condition monitoring in components and equipment across different industries. The book will be a…mehr
This book presents select proceedings of the 3rd World Congress on Condition Monitoring (WCCM 2024). It examines condition monitoring methods, including vibration, acoustics, optics, electromagnetism, infrared thermal imaging, guided waves, stress, etc. The topics covered include signal detection and processing, condition monitoring instrumentation and methods, diagnosis, assessment and prediction, and advanced condition monitoring technology. The book also discusses the various applications of condition monitoring in components and equipment across different industries. The book will be a valuable reference for researchers and professionals interested in condition monitoring and allied fields.
Gongtian Shen is a Professor of China Special Equipment Inspection and Research Institute (CSEI). He is also President of the Chinese Society for NDT (ChSNDT), Honorary President of International Society on Acoustic Emission (ISAE), Chairman of Acoustic Emission Testing Committee of International Organization for Standardization (ISO/TC135/SC9), President of Chinese Standardization Technical Committee for NDT (SAC/TC56) and President of Chinese Standardization Technical Committee for Ropeway and Amusement Facilities (SAC/TC250). He has for long been engaged in the research of special equipment manufacturing, quality and operational safety detection monitoring, evaluation technology research and instrument system development and engineering applications. As Science and Technology Expert and International Standardization Expert in the field of non-destructive testing and special equipment safety engineering, he has presided over more than 20 national scientific research projects, developed 9 international (ISO) standards and 65 national and industry standards and published 7 monographs and more than 200 academic papers. Len Gelman, Ph.D., Dr. of Sciences (Habilitation) joined University of Huddersfield as Professor, Chair in Signal Processing/Condition Monitoring and Director of Centre for Efficiency and Performance Engineering, in 2017 from Cranfield University, where he worked as Professor and Chair in vibro-acoustical monitoring since 2002. Len developed novel condition/health monitoring technologies for aircraft engines, gearboxes, bearings, turbines, compressors and composite/concrete materials and structures. He is Fellow of: British Institute of NDT, International Association of Engineers and Institution of Diagnostic Engineers, Executive Director, the International Society for Condition Monitoring, Editor-in-Chief, the International Journal of Engineering Sciences (SCMR), Editor-in-Chief, IAENG International Journal of Computer Science, General Chair, annual International Condition Monitoring Conferences, Honorary Co-Chair, annual World Congresses of Engineering, Co-Chair, the International Congress COMADEM 2019, and Chair, International Scientific Committee of Third World Congress, Condition Monitoring. Bin Hu is a Professor of China Special Equipment Inspection and Research Institute (CSEI). He is also Vice Secretary General of China Society of non-destructive testing, Chairman of condition monitoring professional conference, member of International Acoustic Emission society, member of International Society for Condition Monitoring. Bin Hu has been engaged in theoretical research and engineering application in acoustic, electromagnetic and other non-destructive testing monitoring and intelligent testing for a long time. He has founded one national key R & D plan, one general project of National Natural Science Foundation and more than 10 projects and has guided the research and application of TOFD, magnetic memory, magnetic leakage and other new technologies in China. Bin Hu formulated two ISO standards, more than 30 national/industrial standards, and published more than 40 academic papers and three cooperative monographs. Junjiao Zhang is a Senior Engineer of China Special Equipment Inspection and Research Institute (CSEI). She is also Committee Manager of ISO/TC135/SC9 (Acoustic Emission Testing), Archivist of International Society on Acoustic Emission (ISAE), member of the Chinese Society for NDT (ChSNDT) and member of Chinese Standardization Technical Committee for NDT (SAC/TC56). She has presided over or participated in over 15 national or provincial scientific research projects, won 7 provincial and ministerial science and technology awards, developed 7 international (ISO) standards and 20 national and industry standards and published more than 30 academic papers. As the main editor, she has published 4 conference proceedings "Advances in Acoustic Emission Technology" in Springer.
Inhaltsangabe
Near field Passive Wireless Strain Sensor for Structure Health Monitoring of Mega Structures. A Method for Processing Strand Signals of Steel Wire Ropes Based on Hilbert Transform and Filtering Techniques. Bearing faults diagnosis under time varying rotation speed condition based on dual tree complex wavelet transforms and order analysis. Frequency Sweep Rate Based Signal Decomposition. Joint Application of Principal Componentnalysis and Wavelet Transform for 1D Convolutional Neural Network Signal Classification. Bolt stress detection algorithm based on Bayesian compressive sensing. Multichannel phase synchronization fusion variational mode decomposition for mechanical fault diagnosis. Demagnetization Fault Diagnosis of PMSLM Based on Relative Position Matrix Transformation and EfficientNetV2 Classification. Multi objective Optimization Guided Sparse Representation for Extracting Non periodic Fault Features of Variable speed Rolling Bearings. Experimental Verification of A New Hyperparameter Optimization of Improved Sparse Low Rank Model for Bearing Fault Signal Reconstruction. Combined positioning of magnetic levitation trains based on an improved interaction model. Assessment of Lift off Distance and Thickness of Metallic Plate Using Pulsed Eddy Current Testing with Scikit learn. Multi scale Convolutional Neural Network Gas Turbine Rotor System Fault Diagnosis. CIVA Simulation and Experiment Research of Plug in Fillet Weld Using Flexible Phased Array Ultrasonic Technique. Research on Acoustic Energy Attenuation Positioning Method for Gas Leakage in Pressure Pipeline. Laser Tomography Imaging Reconstruction Algorithms for Ultrasound Field. Calibration of acoustic emission sensors in frequency bands below 100 kHz. Nonlinear Ultrasonic Detection of Tensile Plastic Deformation in Q235 Steel.
Near field Passive Wireless Strain Sensor for Structure Health Monitoring of Mega Structures. A Method for Processing Strand Signals of Steel Wire Ropes Based on Hilbert Transform and Filtering Techniques. Bearing faults diagnosis under time varying rotation speed condition based on dual tree complex wavelet transforms and order analysis. Frequency Sweep Rate Based Signal Decomposition. Joint Application of Principal Componentnalysis and Wavelet Transform for 1D Convolutional Neural Network Signal Classification. Bolt stress detection algorithm based on Bayesian compressive sensing. Multichannel phase synchronization fusion variational mode decomposition for mechanical fault diagnosis. Demagnetization Fault Diagnosis of PMSLM Based on Relative Position Matrix Transformation and EfficientNetV2 Classification. Multi objective Optimization Guided Sparse Representation for Extracting Non periodic Fault Features of Variable speed Rolling Bearings. Experimental Verification of A New Hyperparameter Optimization of Improved Sparse Low Rank Model for Bearing Fault Signal Reconstruction. Combined positioning of magnetic levitation trains based on an improved interaction model. Assessment of Lift off Distance and Thickness of Metallic Plate Using Pulsed Eddy Current Testing with Scikit learn. Multi scale Convolutional Neural Network Gas Turbine Rotor System Fault Diagnosis. CIVA Simulation and Experiment Research of Plug in Fillet Weld Using Flexible Phased Array Ultrasonic Technique. Research on Acoustic Energy Attenuation Positioning Method for Gas Leakage in Pressure Pipeline. Laser Tomography Imaging Reconstruction Algorithms for Ultrasound Field. Calibration of acoustic emission sensors in frequency bands below 100 kHz. Nonlinear Ultrasonic Detection of Tensile Plastic Deformation in Q235 Steel.
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