A system and method for health management of electrical equipment

A technology of health management system and electrical equipment, which is applied in the direction of reasoning method, data processing application, biological neural network model, etc., and can solve problems such as single function and diagnostic method, cumbersome operation, and easy misjudgment

Active Publication Date: 2018-12-28
杨璇 +1
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  • Claims
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Problems solved by technology

However, the existing technology usually has problems such as single ...

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  • A system and method for health management of electrical equipment
  • A system and method for health management of electrical equipment
  • A system and method for health management of electrical equipment

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Embodiment Construction

[0040] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the implementation manners in the present invention, all other implementation manners obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of the present invention.

[0041] On the one hand, if figure 1 shown, combined with image 3 , a health management method for electric equipment of the present invention, it comprises the following steps:

[0042] S101. Online collection of operating parameters of electrical equipment from sensors installed on electrical equipment through the data bus or regular inspection of electrical equipment management personnel to obtain operating parameters, eliminate error data and ...

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Abstract

The invention provides a system and method for health management of electrical equipment. Through the data fitting method, the mapping relation is established and the operation parameters are inputted. According to the mapping relation, the final result is analyzed, and the data fitting method is constantly corrected according to the final result, and the data fitting method is constantly updated.The final result of the analysis is the secondary evaluation and prediction result of the health assessment and fault prediction. By installing various sensors in electrical equipment and acquiring internal data through communication, real-time monitoring and regular patrol inspection can be carried out to collect data. The invention not only establishes a data model and a neural network, the invention also carries out self-learning through a data fitting mode, and conducts health state evaluation and fault prediction on the electrical equipment through a mapping relationship. The invention comprises three evaluation and prediction modes, and combines the three evaluation and prediction modes to carry out health state evaluation and fault prediction on the electrical equipment, so as to reduce the possibility of misjudgment.

Description

technical field [0001] The invention relates to the field of equipment health management, in particular to a system and method for electrical equipment health management. Background technique [0002] With the refinement of electrical equipment management, the maintenance cost of electrical equipment accounts for an increasing proportion of production costs. In order to improve economic efficiency and enhance market competitiveness, enterprises are also paying more and more attention to the daily maintenance of electrical equipment. After going through the stages of post-event maintenance and planned maintenance, it enters the stage of condition-based electrical equipment maintenance, that is, evaluates and predicts the health status of electrical equipment based on the historical operation, maintenance and continuous work monitoring data of electrical equipment. However, the prior art usually has problems such as single function and diagnostic method, cumbersome operation, ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/04G06N5/04G06N3/02
CPCG06N3/02G06N5/04G06Q10/04G06Q10/06393
Inventor 杨璇尹江飞
Owner 杨璇
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