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...

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Bibliographic Details
Format:	eBook
Language:	English
Published:	Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:	Technology: general issues acoustic emission signals acoustic-based diagnosis actuator and sensor fault adaptive noise reducer artificial neural network attention mechanism automotive autonomous vehicle bearing fault diagnosis braking control control valve convolutional neural network cryptography decision tree deep learning fault detection fault detection and diagnosis fault detection and isolation fault detection and isolation (FDIR) fault diagnosis fault identification fault isolation fault recovery fault tolerant control faults estimation gaussian reference signal gear fault diagnosis gearbox fault diagnosis hybrid kernel function intelligent leak detection iterative learning control krill herd algorithm lidar machine learning model predictive control n/a NARX neural networks nonlinear systems observer design one against on multiclass support vector machine path tracking control perception sensor performance degradation rolling bearing scan-chain diagnosis Shannon entropy signature matrix stacked auto-encoder statistical parameters support vector machine SVR Takagi-Sugeno fuzzy systems varying rotational speed wavelet denoising weighting strategy wireless sensor networks
Online Access:	Open Access: DOAB: description of the publication Open Access: DOAB, download the publication

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Open Access: DOAB: description of the publication
Open Access: DOAB, download the publication

Sensors Fault Diagnosis Trends and Applications

Internet

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