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Yang et al., 2020 - Google Patents

Refined composite multivariate multiscale symbolic dynamic entropy and its application to fault diagnosis of rotating machine

Yang et al., 2020

Document ID
11962829342321874246
Author
Yang Y
Zheng H
Yin J
Xu M
Chen Y
Publication year
Publication venue
Measurement

External Links

Snippet

Accurate and efficient identification of various fault categories, especially for the big data and multisensory system, is a challenge in rotating machinery fault diagnosis. For the diagnosis problems with massive multivariate data, extracting discriminative and stable features with …
Continue reading at www.sciencedirect.com (other versions)

Classifications

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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
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    • G05B23/0243—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model
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