Online Fault Diagnosis of Modern Process Industry System Based on Color-Spectrum

• Published in: Shanghai jiao tong da xue xue bao Vol. 21; no. 5; pp. 621 - 628
• Main Author: 高旭 高建民 孙锴 高智勇
• Format: Journal Article
• Language: English
• Published: Shanghai Shanghai Jiaotong University Press 01.10.2016; Springer Nature B.V
• Subjects: Architecture; Color; Computer Science; Control systems; Displays; Electrical Engineering; Engineering; Euclidean geometry; Euclidean space; Fault diagnosis; Life Sciences; Materials Science; Monitors; N 945.17; A; fault diagnosis; TH 86; color-spectrum; multivariate time series
• ISSN: 1007-1172; 1995-8188
• DOI: 10.1007/s12204-016-1773-5

This paper proposes a new method to diagnose the system fault of the process industry based on the monitor data set of distributed control system(DCS). Firstly, it defines a homeomorphism product space named color phase space which is a Cartesian product of two-dimensional Euclidean space and three-dimensional color phase space. Secondly, it maps the DCS data to the color phase space in order to get a system color-spectrum which displays the inherent relationship of the whole system. Then, it diagnoses the system fault by observing the color change on the color-spectrum depending on the physiological characteristics that human’s eyes are more sensitive for the color change than data change.