Predicting residual service life of flight control computer system

Predicting residual service life of flight control computer system

  • CN 101,963,937 B
  • Filed: 09/29/2010
  • Issued: 08/10/2016
  • Est. Priority Date: 09/29/2010
  • Status: Active Grant
First Claim
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1. a predicting residual service life of flight control computer system, the method is as follows:

  • The state sensor group using flight control computer system detects described flight control computer system and obtains operating state data, and operating state data is made up of data below;

    main control chip temperature, ambient temperature, supply voltage and temperature and acceleration transducer data;

    Operating state data is passed to airborne Health Monitor Computer;

    Operating state data is carried out Fuzzy processing;

    Utilize fuzzy expert system, according to operating state data and fault statistics model, carry out the fault detect of flight control computer system;

    Obtain the flight control computer system history data in on-board data base;

    Utilizing fuzzy expert system, according to historical data and failure detection result, carry out flight control computer system lifetim estimation, described flight control computer historical data includes flight control computer system and the primary data of dispatching from the factory of parts, historical reliability data;

    Operating state data is carried out data compression;

    Operating state data and fault detection information are downloaded to ground calculation server;

    At ground calculation server, the flight control computer information of multiple aircrafts is carried out comprehensively, form statistical data, update the ground data storehouse information in calculation server;

    Update on-board data base information;

    Described state sensor group is made up of five sensors;

    One ambient temperature detection sensor, for detecting the ambient temperature of flight control computer;

    One main control chip temperature detection sensor, for detecting the main control chip operating temperature of flight control computer;

    One power source temperature detection sensor, for detecting the power work temperature of flight control computer;

    One supply voltage detection sensor, for detecting the plurality of voltages of the power supply of flight control computer;

    One MEMS micro-acceleration sensor, for detecting the vibrational state residing for flight control computer;

    Or directly use the accelerometer information in flight control system;

    Described fuzzy expert system includes fuzzy inference rule, Fault Model and Life Prediction Model;

    The method is characterized in that described operating state data carries out Fuzzy processing;

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