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Mechanical systems and signal processing, ISSN 0888-3270, 05/2016, Volume 72-73, pp. 303 - 315
Journal Article
IEEE transactions on industrial electronics (1982), ISSN 1557-9948, 05/2016, Volume 63, Issue 5, pp. 3137 - 3147
Journal Article
IEEE transactions on industrial electronics (1982), ISSN 1557-9948, 09/2019, Volume 66, Issue 9, pp. 7316 - 7325
Journal Article
2017, IET Energy Engineering Series, ISBN 1785610120, Volume 97, xvii, 344 pages
Book
2018, Control, Robotics and Sensors, ISBN 1785617052, 249
As control systems become more complex and are expected to perform tasks in unknown and extreme environments, they may be subject to various types of faults in... 
Multiagent systems | Fault location (Engineering), Linear systems | Control theory
Book
Mechanical systems and signal processing, ISSN 0888-3270, 09/2018, Volume 110, pp. 349 - 367
•Deep normalized convolutional neural network (DNCNN) is proposed for imbalanced fault classification of machinery.•DNCNN uses normalized layers to improve its... 
Deep learning | Visualization | Imbalanced classification | Intelligent fault diagnosis | Convolutional neural network | Engineering | Technology | Engineering, Mechanical | Science & Technology | Fault diagnosis | Kernels | Load | Algorithms | Neural networks | Failure analysis | Data sets | Classification | Machine learning | Artificial neural networks | Signal processing | Machinery
Journal Article
Mechanical systems and signal processing, ISSN 0888-3270, 02/2018, Volume 100, pp. 439 - 453
•A novel and simple end-to-end learning framework with tricks that are easy to implement is proposed.•This algorithm performs pretty well under the noisy... 
Load domain adaptation | Intelligent fault diagnosis | Convolutional neural networks | End-to-end | Anti-noise | Neural networks | Analysis | Methods | Algorithms | Employee performance | Machine learning | Fault diagnosis | Preprocessing | Noise | Noise reduction | Artificial neural networks | Models | Industrial applications | Working conditions | Model accuracy
Journal Article