Improved Deep Transfer Auto-Encoder for Fault Diagnosis of Gearbox Under Variable Working Conditions With Small Training Samples
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2936243
Abstract: It is considerable to solve practical fault diagnosis task of gearbox under variable working conditions by introducing sufficient auxiliary data. For this purpose, a new approach called improved deep transfer auto-encoder is proposed for intelligent… read more here.
Keywords: variable working; working conditions; gearbox variable; transfer ... See more keywords
A Novel Data-Driven Fault Feature Separation Method and Its Application on Intelligent Fault Diagnosis Under Variable Working Conditions
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DOI: 10.1109/access.2020.2996713
Abstract: As mechanical fault diagnosis enters the era of big data, the traditional fault diagnosis methods under variable working condition are difficult to be applied because of the massive computation cost and excessive reliance on human… read more here.
Keywords: working condition; diagnosis; variable working; fault diagnosis ... See more keywords
Bearing Fault Diagnosis Under Variable Working Conditions Base on Contrastive Domain Adaptation Method
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3200106
Abstract: Lack of massive-labeled samples may cause the performance degradation of intelligent bearing fault diagnosis methods under variable working conditions. Unsupervised domain adaptation (UDA)-based methods can effectively alleviate this problem by decreasing the distribution discrepancy between… read more here.
Keywords: fault diagnosis; diagnosis; domain; variable working ... See more keywords