On-line failure diagnosis, prediction and feedback control method of small/medium size gas turbine and device thereof

Abstract

The invention discloses an on-line failure diagnosis, prediction and feedback control method of a small / medium size gas turbine and a device thereof, being used for carrying out on-line analysis on parameters representing running states of the gas turbine. The method comprises the following steps: adopting an artificial neural network (ANN) to analyze the operating characteristics of all working conditions of a gas turbine set; constructing an expert analysis database; adopting a fuzzy logic analysis block and combining a Kalman filtering module for failure isolation; constructing a multi-parameter analysis module to carry out on-line detection on the thermal performance and the running state of the gas turbine set; and finally, outputting the setting values of related control parameter by the on-line analysis on the parameters representing the running states of the gas turbine. A dynamic data processor (DSP) is adopted to cure the analysis means into a chip, and the invention can realize accurate evaluation of the states of parts in the gas turbine, improves the availability of equipment, prolongs time between overhaul, enhances the capability of preventing sudden failures and improves the operation level of the gas turbine on the basis of analysis technologies such as failure category, advanced failure analysis methods, failure experts and the like.

Description

technical field [0001] The present invention relates to distributed power generation system, mobile power station, aviation propulsion technology, high-power racing car and small and medium-sized gas turbine system fault online diagnosis, prediction, and feedback control, in particular, relates to a medium / small gas turbine on-line Fault diagnosis, prediction, feedback control method and device. Background technique [0002] In recent years, after fully absorbing computer technology, adaptive control technology, new dynamic test technology, and advanced information processing technology in the world, fruitful results have been obtained in gas turbine early fault diagnosis and prediction technology, and it has been seen in practical applications. prototype. Mainly reflected in: In terms of measurement and control technology, computer bus technology, multi-channel data synchronous acquisition technology, network data transmission technology, massive data storage and fast reco...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a medium / small gas turbine online fault diagnosis, prediction, feedback control method and device, to overcome the current medium / small gas turbine operation is not stable enough, can not accurately grasp all kinds of fault information in operation and easy Technical problems that lead to malfunctions

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