An automatic and robust features learning method for rotating machinery fault diagnosis based on contractive autoencoder

Research article (Engineering Applications of Artificial Intelligence, 2018) · cited 172× · AI/ML
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An automatic and robust features learning method for rotating machinery fault diagnosis based on contractive autoencoder

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An automatic and robust features learning method for rotating machinery fault diagnosis based on contractive autoencoder is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An automatic and robust features learning method for rotating machinery fault diagnosis based on contractive autoencoder. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-automatic-and-robust-features-learning-method-for-rotating-machinery-fault-diagnosis-based-on-contractive-autoencoder
MLA “An automatic and robust features learning method for rotating machinery fault diagnosis based on contractive autoencoder.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-automatic-and-robust-features-learning-method-for-rotating-machinery-fault-diagnosis-based-on-contractive-autoencoder.
BibTeX @misc{4ortxyz_an-automatic-and-robust-features-learning-method-for-rotating-machinery-fault-diagnosis-based-on-contractive-autoencoder_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An automatic and robust features learning method for rotating machinery fault diagnosis based on contractive autoencoder}}, year = {2026}, url = {https://4ort.xyz/entity/an-automatic-and-robust-features-learning-method-for-rotating-machinery-fault-diagnosis-based-on-contractive-autoencoder}, note = {Accessed: 2026-05-24}}
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