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An Intelligent Fault Detection Method Based on Sparse Auto-Encoder for Industrial Process Systems: A Case Study on Tennessee Eastman Process Chemical System
Research article (2018 10th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2018) · cited 12× · AI/ML
An Intelligent Fault Detection Method Based on Sparse Auto-Encoder for Industrial Process Systems: A Case Study on Tennessee Eastman Process Chemical System
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An Intelligent Fault Detection Method Based on Sparse Auto-Encoder for Industrial Process Systems: A Case Study on Tennessee Eastman Process Chemical System is a scholarly article[1].
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An Intelligent Fault Detection Method Based on Sparse Auto-Encoder for Industrial Process Systems: A Case Study on Tennessee Eastman Process Chemical System's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). An Intelligent Fault Detection Method Based on Sparse Auto-Encoder for Industrial Process Systems: A Case Study on Tennessee Eastman Process Chemical System. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-intelligent-fault-detection-method-based-on-sparse-auto-encoder-for-industrial-process-systems-a-case-study-on-tennes
MLA“An Intelligent Fault Detection Method Based on Sparse Auto-Encoder for Industrial Process Systems: A Case Study on Tennessee Eastman Process Chemical System.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-intelligent-fault-detection-method-based-on-sparse-auto-encoder-for-industrial-process-systems-a-case-study-on-tennes.
BibTeX@misc{4ortxyz_an-intelligent-fault-detection-method-based-on-sparse-auto-encoder-for-industrial-process-systems-a-case-study-on-tennes_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Intelligent Fault Detection Method Based on Sparse Auto-Encoder for Industrial Process Systems: A Case Study on Tennessee Eastman Process Chemical System}}, year = {2026}, url = {https://4ort.xyz/entity/an-intelligent-fault-detection-method-based-on-sparse-auto-encoder-for-industrial-process-systems-a-case-study-on-tennes}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Intelligent Fault Detection Method Based on Sparse Auto-Encoder for Industrial Process Systems: A Case Study on Tennessee Eastman Process Chemical System — https://4ort.xyz/entity/an-intelligent-fault-detection-method-based-on-sparse-auto-encoder-for-industrial-process-systems-a-case-study-on-tennes (retrieved 2026-05-24)
