Principal Polynomial Analysis for Fault Detection and Diagnosis of Industrial Processes

Real-time process monitoring is crucial to improve the productivity, process safety, and product quality. In this paper, a novel fault detection and diagnosis technique based on a principal polynomial analysis (PPA) is proposed. PPA is a nonlinear modeling technique, which describes the data using a...

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Bibliographic Details
Main Authors: Xinmin Zhang, Manabu Kano, Yuan Li
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8466591/