Cover Image
Read Now

Sensors Fault Diagnosis Trends and Applications

Fault diagnosis has always been a concern for industry. In general, diagnosis in complex systems requires the acquisition of information from sensors and the processing and extracting of required features for the classification or identification of faults. Therefore, fault diagnosis of sensors is cl...

Full description

Bibliographic Details
Main Author: Witczak, Piotr
Format: eBook
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
Machine Learning
Adaptive Noise Reducer
Braking Control
Hybrid Kernel Function
Stacked Auto-encoder
Fault Detection And Isolation (fdir)
Weighting Strategy
Rolling Bearing
Fault Tolerant Control
Fault Identification
Performance Degradation
N/a
Fault Detection And Diagnosis
Cryptography
Nonlinear Systems
Perception Sensor
Deep Learning
Neural Networks
Fault Recovery
Takagi-sugeno Fuzzy Systems
Lidar
Fault Detection
Iterative Learning Control
Technology: General Issues / Bicssc
Fault Detection And Isolation
Artificial Neural Network
Automotive
Svr
Faults Estimation
Intelligent Leak Detection
Model Predictive Control
Attention Mechanism
Wavelet Denoising
Fault Isolation
Wireless Sensor Networks
Control Valve
Gear Fault Diagnosis
Narx
Actuator And Sensor Fault
Path Tracking Control
Support Vector Machine
Gearbox Fault Diagnosis
Fault Diagnosis
Autonomous Vehicle
Observer Design
Statistical Parameters
Decision Tree
Varying Rotational Speed
Signature Matrix
Krill Herd Algorithm
Convolutional Neural Network
Acoustic Emission Signals
Gaussian Reference Signal
Shannon Entropy
Scan-chain Diagnosis
One Against On Multiclass Support Vector Machine
Acoustic-based Diagnosis
Bearing Fault Diagnosis
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary:Fault diagnosis has always been a concern for industry. In general, diagnosis in complex systems requires the acquisition of information from sensors and the processing and extracting of required features for the classification or identification of faults. Therefore, fault diagnosis of sensors is clearly important as faulty information from a sensor may lead to misleading conclusions about the whole system. As engineering systems grow in size and complexity, it becomes more and more important to diagnose faulty behavior before it can lead to total failure. In the light of above issues, this book is dedicated to trends and applications in modern-sensor fault diagnosis.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (236 p.)
ISBN:9783036510484
books978-3-0365-1049-1
9783036510491

Similar Items