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Bayesian model-based fault diagnosis for the rotor

机译:基于贝叶斯模型的转子故障诊断

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摘要

Purpose - The purpose of this paper is to deal with the fault of the rotor system of aeroengine that has too much uncertainty and design a structural diagnosis framework for the rotor. Design/methodology/approach - Bayesian network (BN) is especially suited for capturing and reasoning with uncertainty. This paper adopts the techniques of BN to implement the probability computation of fault occurrence using system information. The rotor system is analyzed in detail and the familiar faults and their corresponding fault symptoms are extracted, then the rotor's BN model based on above information is established. Meanwhile, a framework of the fault diagnosis system based on the network model is developed. Using this model, the conditional probabilities of the faults happened are computed when the observation of the rotor is presented. Findings - The diagnosis methods developed are used to diagnose the actual four kinds of faults of the rotor. The BN model can identify the faults occurred by those probabilities computed. Originality/value - The diagnosis system using BN described in this paper is satisfying and can handle the faults of the rotor.
机译:目的-本文的目的是要解决航空发动机转子系统的不确定性过高的问题,并为转子设计一个结构诊断框架。设计/方法/方法-贝叶斯网络(BN)特别适合不确定性的捕获和推理。本文采用BN技术,利用系统信息实现故障发生的概率计算。详细分析了转子系统,提取了熟悉的故障及其相应的故障征兆,然后基于上述信息建立了转子的BN模型。同时,开发了基于网络模型的故障诊断系统框架。使用该模型,当呈现转子观测结果时,会计算出发生故障的条件概率。发现-开发的诊断方法用于诊断转子的四种实际故障。 BN模型可以通过计算出的概率来识别故障。原创性/价值-本文所述的使用BN的诊断系统令人满意,并且可以处理转子的故障。

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  • 作者单位

    Shao Jiye, Department of Astronautic Engineering and Applied Mechanics, Harbin Institute of Technology, Harbin, China Xu Minqiang, Department of Astronautic Engineering and Applied Mechanics, Harbin Institute of Technology, Harbin, China Wang Rixin, Department of Astronautic Engineering and Applied Mechanics, Harbin Institute of Technology, Harbin, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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  • 入库时间 2022-08-17 23:18:25

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