Advances in Condition Monitoring and Structural Health Monitoring, Volume 1 : Select Proceedings of WCCM 2024 (Lecture Notes in Mechanical Engineering)

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Advances in Condition Monitoring and Structural Health Monitoring, Volume 1 : Select Proceedings of WCCM 2024 (Lecture Notes in Mechanical Engineering)

Shen, Gongtian (EDT)/ Gelman, Len (EDT)/ Hu, Bin (EDT)

ウェブストア価格 ¥53,501（本体¥48,638）
Springer Verlag, Singapore（2026/01発売）
外貨定価 US$ 249.99
ポイント 486pt

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製本 Paperback:紙装版/ペーパーバック版／ページ数 80 p.
言語 ENG
商品コード 9789819543441

Full Description

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.

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.