Early recognition method of thermal power plant steam feed pump fault features

Abstract

An early recognition method of thermal power plant steam feed pump fault features depend on the supervision information system (SIS) of a thermal power plant configured by a lot of thermal power plants, and through joining and processing of historical data of related measurement points of a steam feed pump set and the typical fault maintenance record of the steam feed pump set in an SIS database, the neural network classification method in the data mining algorithm is employed to realize the classification of the data features prior to the generation of the typical faults of the steam feed pump set so as to realize that a classification model can perform identification of fault features and perform timely alarm at the early phase when the fault features are represented in the data to select time to perform maintenance and avoid generation of accidents or unsafe events caused by device faults. The early recognition method of the thermal power plant steam feed pump fault features depends on the SIS, is convenient to use and high in practicality, finds new values for massive historical data stored by the SIS of the thermal power plant and explores new direction for the state maintenance of the steam feed pump set even the thermal power plant or more devices or systems.

Description

technical field [0001] The present invention relates to technical fields such as condition maintenance of thermal power plant equipment, failure prediction of steam-driven feedwater pumps, and application of data mining in condition maintenance of steam-driven feedwater pumps in thermal power plants, and specifically relates to a fault feature analysis of steam-driven feedwater pumps in thermal power plants Early identification method. Background technique [0002] Maintenance costs and other costs caused by them are one of the main expenditures in thermal power plants other than fuel costs. The current maintenance modes mainly include planned maintenance, accident maintenance and condition-based maintenance. The related technology of condition-based maintenance is developing rapidly, but the application level of condition-based maintenance is not enough to support it as the basis of maintenance strategy independently, so the current maintenance mode is still planned mainten...

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Problems solved by technology

[0003] The state of the equipment usually has two aspects, one is the economic aspect, and the other is the safety aspect. The reduction of the former will affect the performance of the equipment for a long time, while the deterioration of the latter will usually directly cause safety accidents, and the impact is more serious.

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