PSINDy: Probabilistic sparse identification of nonlinear dynamics for temporal process modeling and fault detection

Research article (Journal of the Taiwan Institute of Chemical Engineers, 2023) · cited 11× · AI/ML
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PSINDy: Probabilistic sparse identification of nonlinear dynamics for temporal process modeling and fault detection

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PSINDy: Probabilistic sparse identification of nonlinear dynamics for temporal process modeling and fault detection is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). PSINDy: Probabilistic sparse identification of nonlinear dynamics for temporal process modeling and fault detection. Retrieved May 24, 2026, from https://4ort.xyz/entity/psindy-probabilistic-sparse-identification-of-nonlinear-dynamics-for-temporal-process-modeling-and-fault-detection
MLA “PSINDy: Probabilistic sparse identification of nonlinear dynamics for temporal process modeling and fault detection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/psindy-probabilistic-sparse-identification-of-nonlinear-dynamics-for-temporal-process-modeling-and-fault-detection.
BibTeX @misc{4ortxyz_psindy-probabilistic-sparse-identification-of-nonlinear-dynamics-for-temporal-process-modeling-and-fault-detection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{PSINDy: Probabilistic sparse identification of nonlinear dynamics for temporal process modeling and fault detection}}, year = {2026}, url = {https://4ort.xyz/entity/psindy-probabilistic-sparse-identification-of-nonlinear-dynamics-for-temporal-process-modeling-and-fault-detection}, note = {Accessed: 2026-05-24}}
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