Online fault diagnosis and state identification during process transitions using dynamic locus analysis

Online fault diagnosis and state identification during process transitions using dynamic locus analysis

Chemical Engineering Science

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Bibliographic Details
Main Authors: Srinivasan, R., Sheng Qian, M.S.
Other Authors: CHEMICAL & BIOMOLECULAR ENGINEERING
Format: Article
Published: 2014
Subjects:
Abnormal situation management
Dynamic time warping
Process supervision
Sequence comparison
Signal comparison
Unsteady state operation
Online Access:http://scholarbank.nus.edu.sg/handle/10635/64328
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Institution: National University of Singapore

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http://scholarbank.nus.edu.sg/handle/10635/64328

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