Industrial equipment intelligent fault diagnosis system and method based on data fusion

A technology of fault diagnosis system and industrial equipment, which is applied in general control system, control/regulation system, test/monitoring control system, etc., and can solve problems such as potential faults

Pending Publication Date: 2019-10-25
上海华电奉贤热电有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

As the power equipment of the gas turbine generator set, the gas turbine is prone to failure hidden dangers due to the influence of many factors such as harsh working environment, peak shaving requirements, and operation wear during operation.

Method used

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  • Industrial equipment intelligent fault diagnosis system and method based on data fusion
  • Industrial equipment intelligent fault diagnosis system and method based on data fusion
  • Industrial equipment intelligent fault diagnosis system and method based on data fusion

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Embodiment Construction

[0027] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0028] Below in conjunction with accompanying drawing, the present invention is described in further detail:

[0029] like figure 1 and figure 2As shown, an intelligent fault diagnosis system for industrial equipment based on data fusion provided by the present invention includes: industrial inspection equipment, online monitoring equipmen...

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Abstract

The invention discloses an industrial equipment intelligent fault diagnosis system and method based on data fusion, wherein in the fault diagnosis system, a factory client is used for acquiring and displaying equipment ledger information of industrial equipment stored in an equipment ledger database, the factory client is used for acquiring patrol inspection task information stored in a patrol inspection task standard database; industrial patrol inspection equipment and online monitoring equipment are both used for acquiring different types of operation parameters of the industrial equipment,the acquired operation parameters are sent to an equipment historical database, and a fuzzy diagnosis logic database is used for carrying out mode recognition according to a fuzzy diagnosis rule basedon a membership degree function in combination with a fuzzy relation so as to obtain the reliability of fault reasons. According to the technical scheme of the invention, the fault severity levels ofall components of the industrial equipment are timely given, and then the health state of the unit is evaluated, so that operation and maintenance suggestions of the industrial equipment are given.

Description

technical field [0001] The invention relates to the technical field of fault diagnosis, in particular to a data fusion-based intelligent fault diagnosis system for industrial equipment and a data fusion-based intelligent fault diagnosis method for industrial equipment. Background technique [0002] The gas turbine generator has the advantages of compact structure, stable operation, safety and reliability, and quick start with load. It is a new type of power equipment and plays an important role in modern industrial production. As the power equipment of the gas turbine generator set, the gas turbine is prone to failure hazards due to the influence of many factors such as harsh working environment, peak shaving requirements, and operational wear and tear during operation. Improving the gas turbine fault diagnosis system structure and timely diagnosis of gas turbine faults will help eliminate hidden dangers, reduce accident rates, improve safety, and provide a theoretical basis...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B23/02
CPCG05B23/0224G05B2219/24065
Inventor 华宇东臧旭东白荣格何立荣吴雪银杨元琴奚邱炎金瀚濛潘晓磊
Owner 上海华电奉贤热电有限公司
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