A Novel Multimode Fault Classification Method Based on Deep Learning
Due to the problem of load varying or environment changing, machinery equipment often operates in multimode. The data feature involved in the observation often varies with mode changing. Mode partition is a fundamental step before fault classification. This paper proposes a multimode classification...
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Main Authors: | Funa Zhou, Yulin Gao, Chenglin Wen |
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Format: | Article |
Language: | English |
Published: |
Wiley
2017-01-01
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Series: | Journal of Control Science and Engineering |
Online Access: | http://dx.doi.org/10.1155/2017/3583610 |
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