A high-pressure heater state data analysis method

Abstract

The invention discloses a high-pressure heater state data analysis method. The method comprises the following steps: processing high-pressure heater state original data to obtain a training sample ofa high-pressure heater state monitoring model, clustering the training samples of the high-pressure heater state monitoring model by using an FCM clustering method based on a genetic simulated annealing algorithm according to the optimal clustering number to obtain a membership matrix, and obtaining the high-pressure heater state monitoring model according to the membership matrix and the trainingsamples; The method comprises the following steps: firstly, processing original data; obtaining a training sample of the detection model; clustering the training samples of the high-pressure heater state monitoring model by using an FCM clustering method based on a genetic simulated annealing algorithm; According to the FCM clustering method based on the genetic simulated annealing algorithm, thedefect that the FCM clustering method is prone to falling into a local optimal solution can be overcome, the global search capability is enhanced, the uncertainty and inaccuracy of data in equipmentmonitoring can be effectively processed, and therefore the real condition of equipment can be well reflected.

Description

technical field [0001] The invention relates to the technical field of data statistics, in particular to a method for analyzing state data of a high-pressure heater. Background technique [0002] High pressure heater is one of the main auxiliary equipment for power generation of thermal power unit. For the high-pressure heater system under high temperature and high pressure for a long time, factors such as bypass switching, feed water pump failure, unit load mutation and other factors will have a greater impact on it, resulting in frequent failures of the high-pressure heater system. At present, the failure of the high-pressure heater system has become one of the main reasons that affect the full and stable power generation of the unit after the boiler tube burst. Failure of the high-pressure heater may cause water shock of the steam turbine, reduce the safety of the boiler, reduce the efficiency of the thermal cycle, reduce the economy, and cause casualties. [0003] Powe...

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Problems solved by technology

[0004] This application provides a high-pressure heater state data analysis method to solve the problem that the state data analysis method of high-pressure heaters in the prior art is difficult to deal with the uncertainty and inaccuracy of data in equipment monitoring, which can not reflect the real situation of the equipment The problem

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