A propagation path-based interpretable neural network model for fault detection and diagnosis in chemical process systems

Research article (Control Engineering Practice, 2024) · cited 21× · AI/ML
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A propagation path-based interpretable neural network model for fault detection and diagnosis in chemical process systems

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A propagation path-based interpretable neural network model for fault detection and diagnosis in chemical process systems is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A propagation path-based interpretable neural network model for fault detection and diagnosis in chemical process systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-propagation-path-based-interpretable-neural-network-model-for-fault-detection-and-diagnosis-in-chemical-process-system
MLA “A propagation path-based interpretable neural network model for fault detection and diagnosis in chemical process systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-propagation-path-based-interpretable-neural-network-model-for-fault-detection-and-diagnosis-in-chemical-process-system.
BibTeX @misc{4ortxyz_a-propagation-path-based-interpretable-neural-network-model-for-fault-detection-and-diagnosis-in-chemical-process-system_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A propagation path-based interpretable neural network model for fault detection and diagnosis in chemical process systems}}, year = {2026}, url = {https://4ort.xyz/entity/a-propagation-path-based-interpretable-neural-network-model-for-fault-detection-and-diagnosis-in-chemical-process-system}, note = {Accessed: 2026-05-24}}
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