Fault Diagnosis for Rotating Machinery: A Method based on Image Processing

Rotating machinery is one of the most typical types of mechanical equipment and plays a significant role in industrial applications. Condition monitoring and fault diagnosis of rotating machinery has gained wide attention for its significance in preventing catastrophic accident and guaranteeing suff...

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Veröffentlicht in:	PloS one Jg. 11; H. 10; S. e0164111
Hauptverfasser:	Lu, Chen, Wang, Yang, Ragulskis, Minvydas, Cheng, Yujie
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 06.10.2016 Public Library of Science (PLoS)
Schlagworte:	Accuracy Algorithms Artificial intelligence Artificial neural networks Axial flow pumps Biology and Life Sciences Centrifugal pumps Centrifugation - instrumentation Computation Computer and Information Sciences Condition monitoring Contours Decomposition Diagnosis Earth Sciences Embedding Engineering Engineering and Technology Environmental engineering Equipment Failure Analysis - methods Fault diagnosis Feature extraction Image processing Image processing equipment Image Processing, Computer-Assisted Industrial applications International conferences Laboratories Machinery Machinery and equipment Machinery condition monitoring Mechanical equipment Medical diagnosis Methods Neural networks Noise Pattern recognition Physical Sciences Priming Research and Analysis Methods Researchers Rotating machinery Rotation Science and technology Shape Signal processing Stochasticity Technology Vibration Beijing China China
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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