Reference : Diagnosis of Process Faults in Chemical Systems Using a Local Partial Least Squares A...
Scientific journals : Article
Engineering, computing & technology : Chemical engineering
Diagnosis of Process Faults in Chemical Systems Using a Local Partial Least Squares Approach
Kruger, Uwe mailto [The Petroleum Institute Abu Dhabi > Department of Electrical Engineering > > >]
Dimitriadis, Grigorios mailto [Université de Liège - ULiège > Département d'aérospatiale et mécanique > Intéractions fluide structure et aérodynamique expérimentale >]
AIChE Journal
John Wiley & Sons, Inc
Yes (verified by ORBi)
[en] condition monitoring ; fault detection ; fault diagnosis ; partial least squares ; local approach
[en] This article discusses the application of partial least squares (PLS) for monitoring
complex chemical systems. In relation to existing work, this article proposes the integration
of the statistical local approach into the PLS framework to monitor changes in
the underlying model rather than analyzing the recorded input/output data directly. As
discussed in the literature, monitoring changes in model parameters addresses the
problems of nonstationary behavior and presents an analogy to model-based
approaches. The benefits of the proposed technique are that (i) a detailed mechanistic
plant model is not required, (ii) nonstationary process behavior does not produce false
alarms, (iii) parameter changes can be non-Gaussian, (iv) Gaussian monitoring statistics
can be established to simplify the monitoring task, and (v) fault magnitude and signatures
can be estimated. This is demonstrated by a simulation example and the analysis
of recorded data from two chemical processes.

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