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Valve Stiction Detection and Quantification Using a K-Means Clustering Based Moving Window Approach

Research article (Industrial & Engineering Chemistry Research, 2021) · cited 36× · AI/ML
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Valve Stiction Detection and Quantification Using a K-Means Clustering Based Moving Window Approach

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Valve Stiction Detection and Quantification Using a K-Means Clustering Based Moving Window Approach is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Valve Stiction Detection and Quantification Using a K-Means Clustering Based Moving Window Approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/valve-stiction-detection-and-quantification-using-a-k-means-clustering-based-moving-window-approach
MLA “Valve Stiction Detection and Quantification Using a K-Means Clustering Based Moving Window Approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/valve-stiction-detection-and-quantification-using-a-k-means-clustering-based-moving-window-approach.
BibTeX @misc{4ortxyz_valve-stiction-detection-and-quantification-using-a-k-means-clustering-based-moving-window-approach_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Valve Stiction Detection and Quantification Using a K-Means Clustering Based Moving Window Approach}}, year = {2026}, url = {https://4ort.xyz/entity/valve-stiction-detection-and-quantification-using-a-k-means-clustering-based-moving-window-approach}, note = {Accessed: 2026-05-24}}
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