Abstract
In this paper, a matter-element extenics method is adopted to combine the information of each layer and each eigenvalue, so as to realize the evaluation of the current state of switch cabinet. The calculation of correlation degree is improved in the traditional matter-element extenics method. And the actual evaluation effect is optimized. This paper illustrates the evaluation process with practical examples, and compares the current evaluation results with the actual status of switch cabinets and the evaluation results obtained by traditional matter-element extension method. They proved the advance and effectiveness of the proposed method.
Highlights
Accurate acquisition of state information of power grid switch cabinet equipment is the premise and foundation of state evaluation
With the development of local discharge detection technology and infrared diagnosis technology, characteristic quantity information can be obtained from live detection records[1]
No matter it is online monitoring information, live detection information or power failure test information, it is important reference information for status evaluation, and it is an indispensable part for comprehensive status evaluation of switch cabinet[2]
Summary
Accurate acquisition of state information of power grid switch cabinet equipment is the premise and foundation of state evaluation. With the development of local discharge detection technology and infrared diagnosis technology, characteristic quantity information can be obtained from live detection records[1]. No matter it is online monitoring information, live detection information or power failure test information, it is important reference information for status evaluation, and it is an indispensable part for comprehensive status evaluation of switch cabinet[2]. A single analysis of the influence of each characteristic quantity on the state of the switch cabinet cannot make an accurate evaluation of the current and future state of the equipment. An improved matter-element extension method is proposed to evaluate the state of distribution switch cabinets. In the process of evaluation, based on the layered space model of the formed feature quantity, the correlation degree value of each feature quantity and sub-space is calculated layer by layer to realize the evaluation of the overall state of the switch cabinet
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