Non-Gaussian Process Monitoring and Fault Diagnosis
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8775-7_9
Reference28 articles.
1. Lee JM, Qin SJ, Lee IB (2006) Fault detection and diagnosis based on modified independent component analysis. AIChE J 52:3501–3514
2. Fan JC, Wang YQ (2014) Fault detection and diagnosis of non-linear non-Gaussian dynamic processes using kernel dynamic independent component analysis. Inf Sci 259:369–379
3. Stefatos G, Hamza AB (2020) Dynamic independent component analysis approach for fault detection and diagnosis. Expert Syst Appl 37:8606–8617
4. Lee JM, Yoo CK, Lee IB (2004) Statistical monitoring of dynamic processes based on dynamic independent component analysis. Chem Eng Sci 59:2995–3006
5. Zhang YW, An JY, Zhang HL (2013) Monitoring of time-varying processes using kernel independent component analysis. Chem Eng Sci 88:23–32
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