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

A technology of gas turbine and feedback control, which is applied in the fields of prediction, feedback control, and online fault diagnosis of medium/small gas turbines. The ability to prevent unexpected failures and the effect of improving the operation level

Inactive Publication Date: 2010-04-14
CENT FOR CLEAN ENERGY TECH OF SHANGHAI +1
View PDF0 Cites 34 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • On-line failure diagnosis, prediction and feedback control method of small/medium size gas turbine and device thereof
  • On-line failure diagnosis, prediction and feedback control method of small/medium size gas turbine and device thereof
  • On-line failure diagnosis, prediction and feedback control method of small/medium size gas turbine and device thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0010] The following is based on figure 1 and figure 2 , a preferred embodiment of the present invention is given and described in detail, so that the functions and features of the present invention can be better understood.

[0011] The technical scheme of the present invention is based on DSP technology. according to figure 1 As shown, the function description of each module is as follows:

[0012] a) The design state or non-design state of gas turbine operation is mainly determined by output power or thrust, combustion chamber outlet temperature, compressor inlet pressure and flow, turbine front temperature, unit speed, guide / stator vane installation angle, pollutant emission components , Rotor vibration frequency / amplitude, noise distribution characteristics and other parameters are displayed.

[0013] b) The testing of failure analysis The primary instruments and sensors are based on the system combining advanced testing technology and traditional testing technology,...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): F02C9/00
Inventor 张宏武李继超姚君聂超群黄伟光
Owner CENT FOR CLEAN ENERGY TECH OF SHANGHAI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap