Feed pump fault detection method based on multiscale principal component analysis

Abstract

The invention discloses a feed pump fault detection method based on multiscale principal component analysis. The method comprises the following steps that: utilizing discrete wavelet transform to decompose collected variable data, utilizing a principal component analysis method to determine a wavelet coefficient in each scale, and selecting coefficients which are greater than a specific thresholdvalue to generate a multiscale model; and utilizing the principal component analysis method to carry out modeling on a new statistical amount, independently calculating a T2 statistical amount and a Qstatistical amount, and giving a fault alarm when one statistical amount exceeds the threshold value. By use of the method, the process data of a feed pump is substantially multiscale, and has differences in different time domains and frequency domains. A traditional statistical method based on a single scale can not accurately separate main variables which show a system operation state, and therefore, a multiscale principal component analysis method is selected to carry out feature extraction to improve detection sensitivity.

Description

technical field [0001] The invention relates to a fault detection method of a feed water pump based on multi-scale principal component analysis, and belongs to the technical field of thermal process state detection and fault diagnosis. Background technique [0002] As the capacity of a single unit increases, the impact and economic loss caused by equipment failures are also increasing. Therefore, extremely high requirements are placed on the reliability and safety of each equipment in the power plant. The feedwater pump is one of the important auxiliary machines in the power plant, and the failure of the feedwater pump is also one of the important reasons for the unplanned shutdown of the power plant. Therefore, the early warning of the failure of the feed water pump can detect and help to eliminate the failure in time, and improve the reliability of the unit. [0003] For a long time, people have not paid enough attention to important auxiliary equipment such as feed water...

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Problems solved by technology

[0003] For a long time, people have not paid enough attention to important auxiliary equipment such as feed water pumps in thermal power plants, and have seldom researched on their fault detection technology and detection equipment.

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