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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2015, Vol. 36 ›› Issue (12): 3970-3979.doi: 10.7527/S1000-6893.2015.0031

• Electronics and Control • Previous Articles     Next Articles

TLD analysis method of dispatch with multiple faults based on Monte Carlo simulation for FADEC system

LU Zhong1, RONG Xiang2, ZHOU Jia3, CHEN Kang1   

  1. 1. College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China;
    2. Department of Airworthiness and Quality, AVIC Commercial Aircraft Engine Co. LTD., Shanghai 201108, China;
    3. Department of Aircraft Maintenance, China Eastern Airlines Jiangsu Limited, Nanjing 211113, China
  • Received:2014-12-09 Revised:2015-01-23 Online:2015-12-15 Published:2015-03-11
  • Supported by:

    National Natural Science Foundation of China (U1333118); Fundamental Research Funds for the Central Universities (NZ2012118); Natural Science Foundation of Jiangsu Province (BK20130811)

Abstract:

Time limited dispatch (TLD) analysis is an important aspect of safety analysis for airborne system, as well as a required task of type certification for commercial aircraft and aeroengines. The traditional TLD methods are not suitable for dispatch with multiple faults. TLD analysis method of dispatch with multiple faults is studied, dispatch category decision method and maintenance strategy decision principle are determined for multiple faults state, and TLD analysis method of dispatch with multiple faults is proposed based on Monte Carlo simulation; specific cases are used to illustrate the effectiveness of the method and TLD analysis of a typical full authority digital electronic control (FADEC) system is conducted in consideration of dispatch with multiple faults. Conclusions show that the proposed method herein whose error is around 0.25% has greater precision than the single fault Markov model, meanwhile, it can avoid the cumbersome work of modeling with Markov process and is practical for engineering application.

Key words: system safety, time limited dispatch, Monte Carlo simulation, Markov model, aeroengine control, airworthiness certification

CLC Number: