Online fault diagnosis of modern process industry system based on color-spectrum |
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Authors: | Xu Gao Jianmin Gao Kai Sun Zhiyong Gao |
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Institution: | 1.State Key Laboratory for Manufacturing Systems Engineering,Xi’an Jiaotong University,Xi’an,China;2.College of Mechanical & Electrical Engineering,Xi’an University of Architecture and Technology,Xi’an,China |
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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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