Abnormal Operating Condition Identification of Industrial Processes Based on Deep Learning With Global-Local Slow Feature Analysis

Research article (IEEE Transactions on Instrumentation and Measurement, 2023) · cited 20× · AI/ML
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Abnormal Operating Condition Identification of Industrial Processes Based on Deep Learning With Global-Local Slow Feature Analysis

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Abnormal Operating Condition Identification of Industrial Processes Based on Deep Learning With Global-Local Slow Feature Analysis is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Abnormal Operating Condition Identification of Industrial Processes Based on Deep Learning With Global-Local Slow Feature Analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/abnormal-operating-condition-identification-of-industrial-processes-based-on-deep-learning-with-global-local-slow-featur
MLA “Abnormal Operating Condition Identification of Industrial Processes Based on Deep Learning With Global-Local Slow Feature Analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/abnormal-operating-condition-identification-of-industrial-processes-based-on-deep-learning-with-global-local-slow-featur.
BibTeX @misc{4ortxyz_abnormal-operating-condition-identification-of-industrial-processes-based-on-deep-learning-with-global-local-slow-featur_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Abnormal Operating Condition Identification of Industrial Processes Based on Deep Learning With Global-Local Slow Feature Analysis}}, year = {2026}, url = {https://4ort.xyz/entity/abnormal-operating-condition-identification-of-industrial-processes-based-on-deep-learning-with-global-local-slow-featur}, note = {Accessed: 2026-05-24}}
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