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Power plant fan fault early warning system based on fuzzy reasoning

A technology of fuzzy reasoning machine and fault early warning, which is applied in the direction of reasoning method, data processing application, instrument, etc., which can solve the problems that cannot be applied to the real-time fault detection of fan operation, and achieve the effect of real-time monitoring

Pending Publication Date: 2019-10-11
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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Problems solved by technology

In addition, traditional fault diagnosis methods can only be diagnosed after the fact, and cannot be applied to real-time fault detection of fan operation

Method used

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  • Power plant fan fault early warning system based on fuzzy reasoning
  • Power plant fan fault early warning system based on fuzzy reasoning
  • Power plant fan fault early warning system based on fuzzy reasoning

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Embodiment Construction

[0055] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. Apparently, the described embodiments are some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0056] Such as figure 1 As shown, the present invention relates to a fuzzy inference-based early warning system for fan failures in power plants. Obtaining module 5, early warning explanation mechanism module 6 and man-machine interface interaction module 7.

[0057] The wind turbine real-time online monitoring module 1 is used to complete the collection of wind turbine real-time data, signal processing and fault feature extraction, and store related data in the wind turbine operation state knowledge base module 2 . Specifically in...

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Abstract

The invention relates to a power plant fan fault early warning system based on fuzzy reasoning. The system comprises a fan real-time online monitoring module which comprises a fan real-time data acquisition unit, a signal processing unit and a fault feature extraction unit; a fan operation state knowledge base module which comprises a fault rule base unit, a static database unit and a dynamic database unit; and a fuzzy inference engine module which comprises a fuzzy inference unit, a forward inference unit, a reverse inference unit; and an early warning threshold determination module, a fuzzyknowledge acquisition module, an early warning interpretation mechanism module and a human-computer interface interaction module. Compared with the prior art, the problem that early warning is difficult due to strong coupling, nonlinearity, variable working conditions, various fault types and the like of a power plant fan in the traditional sense is solved, real-time monitoring of the state of thefan is achieved, the fault type of the fan can be judged, fault occurrence points can be traced back, and early warning reasons can be analyzed.

Description

technical field [0001] The invention relates to the technical field of fan fault early warning systems in power plants, in particular to a fan fault early warning system in power plants based on fuzzy reasoning. Background technique [0002] With the rapid development of the national economy, my country's electricity demand is also increasing day by day, and the number of large generator sets in power plants is increasing. While these large generating units bring huge benefits, the failure rate of thermal power unit equipment is also increasing due to the increasing correlation between equipment, increasing complexity and increasing operating parameter requirements. Under the existing production management conditions, coal-fired power plants have about 0-2 major accidents that can directly lead to unplanned downtime caused by equipment failures, and about 2-5 major accidents that can indirectly cause unplanned downtime caused by equipment failures. Generally, there are abou...

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Application Information

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IPC IPC(8): G06N5/04G06Q50/06
CPCG06N5/042G06N5/048G06Q50/06
Inventor 茅大钧韩万里魏骜吕彬
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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