A probabilistic principal component analysis-based approach in process monitoring and fault diagnosis with application in wastewater treatment plant
Abstract
Probabilistic principal component analysis (PPCA) based approaches have been widely used in the field of process monitoring. However, the traditional PPCA approach is still limited to linear dimensionality reduction. Although the nonlinear projection model of PPCA can be obtained by Gaussian process mapping, the model still lacks robustness and is susceptible to process noise. Therefore, this paper proposes a new nonlinear process monitoring and...
Paper Details
Title
A probabilistic principal component analysis-based approach in process monitoring and fault diagnosis with application in wastewater treatment plant
Published Date
Sep 1, 2019
Journal
Volume
82
Pages
105527 - 105527
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