A 3-layered nonlinear process monitoring strategy with a novel fault diagnosis approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s00170-023-12678-2.pdf
Reference25 articles.
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2. De-Felipe D, Benedito E (2017) Monitoring high complex production processes using process capability indices. Int J Adv Manuf Technol 93:1257–1267. https://doi.org/10.1007/s00170-017-0591-8
3. Yang Z, Bose A, Zhong H, Zhang N, Xia Q, Kang C (2016) Optimal reactive power dispatch with accurately modeled discrete control devices: a successive linear approximation approach. IEEE Trans Power Syst 32(3):2435–2444. https://doi.org/10.1109/TPWRS.2016.2608178
4. Hou Z, Liu S (2023) Global algorithm for a class of multiplicative programs using piecewise linear approximation technique. Numer Algorithms 92(2):1063–1082. https://doi.org/10.1007/s11075-022-01330-x
5. Yan W, Guo P, Li Z (2016) Nonlinear and robust statistical process monitoring based on variant autoencoders. Chemom Intell Lab Syst 158:31–40. https://doi.org/10.1016/j.chemolab.2016.08.00
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