航空学报 > 1993, Vol. 14 Issue (12): 588-595

发动机故障诊断的主因子模型

范作民, 孙春林, 林兆福   

  1. 中国民航学院机电系,天津 300300
  • 收稿日期:1992-12-17 修回日期:1993-04-05 出版日期:1993-12-25 发布日期:1993-12-25

PRIMARY FACTOR MODEL FOR JET ENGINE FAULT DIAGNOSIS

Fan Zuo-min, Sun Chun-lin, Lin Zhao-fu   

  1. Department of Aeronautical Machinarv and Electrical Engineering, Civil Aviation Institute ofChina, Tianjin. 300300
  • Received:1992-12-17 Revised:1993-04-05 Online:1993-12-25 Published:1993-12-25

摘要: 提出了发动机故障论断的主因子模型。这是一种基于故障方程的参数诊断方法。主因子模型能够利用较少的测量参数对较多的故障类型进行论断,可以有效地克服故障方程病态的影响,保证诊断结果具有高的精度和信度,并提供诊断结果可靠性的评价信息。文中给出了主因子模型的基本理论、主因子模型的最优实用算法及其算例以及对于JT9D发动机的24个故障样本的验算结果。理论和实际考核表明主因子模型是一种有效的故障诊断方法。

关键词: 喷气发动机, 故障珍断, 主因子模型, 误判风险, 最优化方法

Abstract: A Primary Factor Model (PFM) for jet engine fault diagnosis is presented, which is a kind of parameter diagnosis method based on the engine fault equation. The PF'M can be used to diagnose numerous fault categories with fewer measurements, avoid missing of reasonable solutions, decrease the adverse effect of the multi-collineanty of the fault equation, guarantee the highest precision and confidence of the diagnosis results, and provide evaluation information concerning the reliability of the diagnostic results. The basic theory of PFM, its practical optimal algorithm and calculation examples are presented and the test results for 24 fault samples of JT9D engine are given. Theoretical analysis and practical test of PFM show that PFM is an effective method of fault diagnosis.

Key words: jet engine, fault diagnosis, Primary Hactor Model, misjudgement danger, potinization