Citations (8)
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Qingbo He & Shiyu Zhou. (2014) Discriminant locality preserving projection chart for statistical monitoring of manufacturing processes. International Journal of Production Research 52:18, pages 5286-5300.
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Yanting Li & Fugee Tsung. (2011) Detecting and diagnosing covariance matrix changes in multistage processes. IIE Transactions 43:4, pages 259-274.
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Marianne Frisén, Eva Andersson & Linus Schiöler. (2010) Evaluation of multivariate surveillance. Journal of Applied Statistics 37:12, pages 2089-2100.
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Robert L. Mason, Youn-Min Chou & John C. Young. (2010) Decomposition of Scatter Ratios Used in Monitoring Multivariate Process Variability. Communications in Statistics - Theory and Methods 39:12, pages 2128-2145.
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Articles from other publishers (4)
Anqi Wang, Zheng Qian, Yan Pei & Bo Jing. (2022) A de-ambiguous condition monitoring scheme for wind turbines using least squares generative adversarial networks. Renewable Energy 185, pages 267-279.
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Jimoh Olawale Ajadi, Kevin Hung, Muhammad Riaz, Nurudeen Ayobami Ajadi & Tahir Mahmood. (2021) On the multivariate progressive control chart for effective monitoring of covariance matrix. Quality and Reliability Engineering International 37:6, pages 2724-2737.
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Qifa Xu, Shixiang Lu, Zhongping Zhai & Cuixia Jiang. (2020) Adaptive fault detection in wind turbine via RF and CUSUM. IET Renewable Power Generation 14:10, pages 1789-1796.
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Jimoh Olawale Ajadi & Inez Maria Zwetsloot. (2020) Should observations be grouped for effective monitoring of multivariate process variability?. Quality and Reliability Engineering International 36:3, pages 1005-1027.
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