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Deep Learning-Based Machinery Fault Diagnostics

This book offers a compilation for experts, scholars, and researchers to present the most recent advancements, from theoretical methods to the applications of sophisticated fault diagnosis techniques. The deep learning methods for analyzing and testing complex mechanical systems are of particular in...

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Bibliographic Details
Main Author: Chen, Hongtian
Other Authors: Zhong, Kai, Ran, Guangtao, Cheng, Chao
Format: eBook
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
Robust Optimization
Process Monitoring
Information Transformation
Spatiotemporal Feature Fusion
Fault Tolerant Control
N/a
Data Augmentation
Bearing Fault Detection
Filter
Abnormal Case Removal
Pso
Anti-noise
Gated Recurrent Unit
Belief Rule Base
Case-based Reasoning
Auxiliary Model
History Of Engineering & Technology / Bicssc
Parameter Optimization
Canonical Variate Analysis
Hammerstein Output-error Systems
Event-triggered Control
Variable Time Lag
Fault Detection
Canonical Correlation Analysis
Technology: General Issues / Bicssc
Nonlinear Networked Systems
Data-driven
Statistical Local Analysis
K-nearest Neighbor Analysis
Convolution Fusion
Operational Optimization
Interval Type-2 Takagi-sugeno Fuzzy Model
Distributed Predictive Control
Fractional-order Calculus Theory
Attention Mechanism
High-speed Trains
Local Outlier Factor
Multi-innovation Identification Theory
Thruster Fault Diagnostics
Sintering Process
Gearbox Fault Diagnosis
Autonomous Underwater Vehicle
Fault Diagnosis
Ocean Currents
Evidential Reasoning Rule
Bayesian Network
Evidential Reasoning
Stacked Pruning Sparse Denoising Autoencoder
Intelligent Fault Diagnosis
Aluminum Reduction Process
Flywheel Fault Diagnosis
Wavelet Mutation
Fuzzy Fault Tree Analysis
Deep Residual Network
Convolutional Neural Network
Disturbance Detection
Alumina Concentration
Just-in-time Learning
Lssvm
State Identification
Subspace Identification
Dynamic Autoregressive Latent Variables Model
System Modelling
Dynamics
Power Transmission System
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary:This book offers a compilation for experts, scholars, and researchers to present the most recent advancements, from theoretical methods to the applications of sophisticated fault diagnosis techniques. The deep learning methods for analyzing and testing complex mechanical systems are of particular interest. Special attention is given to the representation and analysis of system information, operating condition monitoring, the establishment of technical standards, and scientific support of machinery fault diagnosis.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (290 p.)
ISBN:9783036551746
books978-3-0365-5174-6
9783036551739

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