Online Fault Diagnosis of Modern Process Industry System Based on Color-Spectrum
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-...
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| Published in | Shanghai jiao tong da xue xue bao Vol. 21; no. 5; pp. 621 - 628 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Shanghai
Shanghai Jiaotong University Press
01.10.2016
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1007-1172 1995-8188 |
| DOI | 10.1007/s12204-016-1773-5 |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | 高旭 高建民 孙锴 高智勇 |
| AuthorAffiliation | State Key Laboratory for Manufacturing Systems Engineering,Xi’an Jiaotong University;College of Mechanical & Electrical Engineering,Xi’an University of Architecture and Technology |
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| Cites_doi | 10.1016/0098-1354(93)80018-I 10.1016/0967-0661(95)00014-L 10.1002/aic.690400509 10.1016/j.compchemeng.2014.01.007 10.1016/0098-1354(94)E0042-L 10.1016/S0951-8320(00)00049-1 10.1016/S0098-1354(97)87576-X 10.1016/0098-1354(90)87023-I 10.1002/cjce.5450690105 10.3901/JME.2011.03.063 10.1016/0300-9467(84)80001-5 10.1016/S0263-8762(07)73181-7 |
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| Notes | GAO Xu;GAO Jianmin;SUN Kai;GAO Zhiyong;State Key Laboratory for Manufacturing Systems Engineering,Xi’an Jiaotong University;College of Mechanical & Electrical Engineering,Xi’an University of Architecture and Technology 31-1943/U ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
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| References | Vedam, Venkatasubramanian (CR8) 1997 Tarifa, Scenna (CR3) 1997; 21 Jiang, Wu, Liu (CR12) 2011; 47 Macgregor, Jacckle, Kiparissides (CR13) 1994; 40 Kresta, Macgregor, Marlin (CR10) 1991; 69 Madgregor, Kourti (CR11) 1995; 3 Downs, Vogel (CR17) 1993; 17 Maestri, Ziella, Cassanello (CR6) 2014; 64 Li, Gao, Chen (CR15) 2008 Cheung, Stephanopoulos (CR5) 1990; 14 Scenna (CR4) 2000; 70 Mauryam, Rengaswamy, Venkatasubramanian (CR9) 2007; 85 Gao, Li, Gao (CR14) 2008 Han, Gao, Chen (CR16) 2009 Chester, Lamb, Dhrujati (CR2) 1984 Mah, S, Tamhane, Tung (CR7) 1995; 19 Kumamoto, Ikenchi, Inoue (CR1) 1984; 29 M Maestri (1773_CR6) 2014; 64 J F Macgregor (1773_CR13) 1994; 40 J M Gao (1773_CR14) 2008 Z Han (1773_CR16) 2009 J V Kresta (1773_CR10) 1991; 69 H Vedam (1773_CR8) 1997 J F Madgregor (1773_CR11) 1995; 3 H Kumamoto (1773_CR1) 1984; 29 D Chester (1773_CR2) 1984 R Mauryam (1773_CR9) 2007; 85 R Mah (1773_CR7) 1995; 19 G Li (1773_CR15) 2008 J T Cheung (1773_CR5) 1990; 14 J J Downs (1773_CR17) 1993; 17 E E Tarifa (1773_CR3) 1997; 21 W L Jiang (1773_CR12) 2011; 47 N J Scenna (1773_CR4) 2000; 70 |
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| Title | Online Fault Diagnosis of Modern Process Industry System Based on Color-Spectrum |
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