Fault judgment system with auxiliary analysis function

Abstract

The invention discloses a fault judgment system with an auxiliary analysis function, and the system comprises: a collection subsystem which collects the operation data of equipment; a fault diagnosis subsystem which is used for judging whether the equipment has a fault or not based on the operation data acquired by the acquisition subsystem, and generating a corresponding fault name based on a generated fault type; and a fault analysis subsystem which outputs a fault maintenance scheme corresponding to the fault name based on the fault name generated by the fault diagnosis subsystem. The fault judgment system provided by the invention not only can diagnose the fault reason of the equipment on line, but also can provide a corresponding maintenance processing scheme and related data according to the fault reason, so that the fault analysis efficiency of equipment operation and maintenance personnel is effectively improved.

Description

technical field [0001] The invention relates to the technical field of thermal power generation, in particular to a fault judgment system with an auxiliary analysis function. Background technique [0002] On-line fault diagnosis and corresponding knowledge of generator set equipment is of great significance when the operation and maintenance personnel of the unit equipment analyze equipment faults. [0003] Existing fault diagnosis systems for generating set equipment can only provide relatively simple equipment fault diagnosis results, such as "high pressure heater fouling" and so on. Because the information content provided by the system is relatively simple, when the operation and maintenance personnel further analyze the causes of fouling, treatment measures, maintenance methods, etc., they often cannot get help directly in the equipment system, so they need to query relevant fault knowledge outside the system. This not only increases the maintenance time, but also the ...

AI Technical Summary

Problems solved by technology

Because the information content provided by the system is relatively simple, when the operation and maintenance personnel further analyze the causes of fouling, treatment measures, maintenance methods, etc., they often cannot get help directly in the equipment system, so they need to query relevant fault knowledge outside the system

This not only increases the maintenance time, but also the pertinence of the maintenance processing method is not high

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