A Quality-Related Fault Detection Method Based on the Dynamic Data-Driven Algorithm for Industrial Systems

For nearly a decade, quality-related fault detection algorithms have been widely used in industrial systems. However, the majority of these detection strategies rely on static assumptions of the operating environment. In this paper, taking the time series of variables into consideration, a dynamic k...

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Vydané v:	IEEE transactions on automation science and engineering Ročník 19; číslo 4; s. 3942 - 3952
Hlavní autori:	Sun, Cheng-Yuan, Yin, Yi-Zhen, Kang, Hao-Bo, Ma, Hong-Jun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.10.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Autoregressive moving average DKECR Dynamic characteristics Dynamic feature Dynamic stability Dynamical systems Entropy False alarms Fault detection KECA Kernel Kernels Monitoring Nonlinear control Nonlinear dynamical systems Nonlinear dynamics Principal component analysis quality-related
ISSN:	1545-5955, 1558-3783
On-line prístup:	Získať plný text
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