Method for identifying fault degree of high-pressure heater water supply system

Abstract

The invention discloses a method for identifying the fault degree of a high-pressure heater water supply system and belongs to the technical field of thermal system fault diagnosis. The method comprises steps of obtaining fault samples of different types and different severity degrees and performing standardization processing; establishing a probabilistic neural network fault diagnosis model using fault samples of different types; establishing a feed-forward neural network degree identification model for faults of each type; inputting real-time fault sample data in the probabilistic neural network fault diagnosis model and outputting a fault type; selecting a feed-forward neural network degree identification model corresponding to the fault type; continuously inputting the real-time fault sample data in the selected feed-forward neural network degree identification model, and a feed-forward neural network identifying and outputting the fault severity degree; and displaying the fault type and the fault severity degree. The diagnosis speed is fast and the identification precision is high. The fault severity degree can be effectively identified, and the value of the fault severity degree can be provided. The method can be used for high-pressure heater water supply system fault diagnosis in a rated condition, different steady-state conditions and variable conditions.

Description

technical field [0001] The invention belongs to the technical field of thermal system fault diagnosis, and in particular relates to a method for identifying the fault degree of a high water supply system. Background technique [0002] In the thermal system of large-scale thermal power units, the high-pressure water supply system has a harsh working environment. It has been subjected to high-temperature and high-pressure water supply and steam turbine extraction for a long time. It is also affected by factors such as unit load changes and bypass switching during operation, which is prone to internal leakage. Short circuit and other faults. Frequent failures of the high water supply system not only reduce the economical efficiency of unit operation, but also endanger the safety of the steam turbine body and unit operators in severe cases. Therefore, it is very necessary to carry out real-time monitoring and fault diagnosis on the high water supply system. With the further im...

AI Technical Summary

Problems solved by technology

Existing methods treat the fault diagnosis of high water supply system as a pattern recognition problem. According to the selected fault characteristic parameters, only the type of fault can be diagnosed, and the severity of the fault cannot be identified.

In addition, the existing methods often conduct qualitative and isolated analysis on a specific high-pressure heater after the system is running stably, assuming that the steam and water parameters of the high-pressure heater are basically unchanged. Consideration of the Overall Variation Law of Operating Parameters in Water Addition System

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