State parameter-based fault early warning method for condensate water pump

Abstract

The invention relates to a state parameter-based fault early warning method for a condensate water pump. The method comprises the steps of firstly selecting out training data and test data for representing state parameters of a condensate water pump system in running data of an SCADA system; secondly fitting the state parameters of the condensate water pump system by utilizing an LS-SVR condensatewater pump multivariate state regression model to obtain regression values of the state parameters of the condensate water pump system, and comparing the obtained regression values with actual valuesto obtain deviations; and finally performing early fault early warning of the state parameters by setting a confidence interval-based deviation dynamic threshold. Compared with the prior art, the method has the advantages of early fault identification, improved overhaul efficiency, high practicality and the like.

Description

technical field [0001] The invention relates to the technical field of condensate pump safety assessment, in particular to a state parameter-based fault early warning method for a condensate pump. Background technique [0002] In the operation of power plant pumps, condensate pumps are the most common type of pumps. The steam that has completed the work in the steam turbine enters the condenser through the exhaust pipe, and after being cooled by the cooling water, it becomes condensed water and is concentrated in the hot water well. Since the soda-water system is an ideal balancing process, the condensate pump needs to run continuously, sending the condensate to the boiler heater for a series of heating. It can be seen that the failure of the condensate pump during normal operation will cause the water level of the condenser hot well to rise, submerging the copper pipes of the condenser, so that the steam cannot be condensed, and the vacuum will drop sharply, which will cau...

AI Technical Summary

Problems solved by technology

However, the above three methods are all manual operations, which require high experience of technicians, cannot realize automatic early warning, and have low efficiency in identifying faults

In the power plant DCS (Distributed Control System, decentralized control system), the upper and lower alarm limits of the state parameters of the existing automatic fault warning technology are fixed. Once the equipment parameters exceed the alarm line, the condensate pump system has almost failed, and it is necessary to Downtime for maintenance; however, in fact most failures do not occur suddenly, there is a slow development process

The existing technology often chooses a fixed value to set, for example, it is set according to the mean value of the residual sequence or the residual threshold value multiplied by a coefficient on the basis of the mean value. If the value is set small, it is easy to cause false alarms. However, if the value is set too large, it will not be able to play an alarm role. This method is not clear enough and has no practical application effect.

In addition, in terms of maintenance of condensate pumps, most power plants adopt maintenance methods such as planned maintenance and post-event maintenance, which have low maintenance efficiency and cannot guarantee the safety, reliability and utilization of condensate pumps.

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