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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Bayesian model-based fault diagnosis for the rotor


    Contributors:
    Jiye, Shao (author) / Minqiang, Xu (author) / Rixin, Wang (author)


    Publication date :

    2009-01-23


    Size :

    6 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Bayesian model-based fault diagnosis for the rotor

    Jiye, Shao | Online Contents | 2009


    MULTICOPTER ONLINE ROTOR FAULT DIAGNOSIS SYSTEM

    KOPSAFTOPOULOS FOTIOS / DUTTA AIRIN / GANDHI FARHAN | European Patent Office | 2023

    Free access

    MULTICOPTER ONLINE ROTOR FAULT DIAGNOSIS SYSTEM

    KOPSAFTOPOULOS FOTIOS / DUTTA AIRIN / GANDHI FARHAN | European Patent Office | 2025

    Free access

    Probability based vehicle fault diagnosis: Bayesian network method

    Huang, Yingping / McMurran, Ross / Dhadyalla, Gunwant et al. | Tema Archive | 2008


    Fault Diagnosis of RAT Actuator Based on Bayesian Network

    Huang, Yan / Cai, Jing / Dai, Dingqiang | IEEE | 2020