Fault diagnosis based on deep learning by extracting inherent common feature of multi-source heterogeneous data

Research article (Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering, 2020) · cited 12× · AI/ML
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Fault diagnosis based on deep learning by extracting inherent common feature of multi-source heterogeneous data

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Fault diagnosis based on deep learning by extracting inherent common feature of multi-source heterogeneous data is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Fault diagnosis based on deep learning by extracting inherent common feature of multi-source heterogeneous data. Retrieved May 24, 2026, from https://4ort.xyz/entity/fault-diagnosis-based-on-deep-learning-by-extracting-inherent-common-feature-of-multi-source-heterogeneous-data
MLA “Fault diagnosis based on deep learning by extracting inherent common feature of multi-source heterogeneous data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fault-diagnosis-based-on-deep-learning-by-extracting-inherent-common-feature-of-multi-source-heterogeneous-data.
BibTeX @misc{4ortxyz_fault-diagnosis-based-on-deep-learning-by-extracting-inherent-common-feature-of-multi-source-heterogeneous-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fault diagnosis based on deep learning by extracting inherent common feature of multi-source heterogeneous data}}, year = {2026}, url = {https://4ort.xyz/entity/fault-diagnosis-based-on-deep-learning-by-extracting-inherent-common-feature-of-multi-source-heterogeneous-data}, note = {Accessed: 2026-05-24}}
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