Timely and effective fault diagnosis of sensors is crucial to enhance the working efficiency and reliability of the aeroengine. A new intelligent fault diagnosis scheme combining improved pattern gradient spectrum entropy (IPGSE) and convolutional neural network (CNN) is proposed in this paper, aiming at the problem of poor fault diagnosis effect and real-time performance when CNN directly processes one-dimensional time series signals of aeroengine. Firstly, raw fault signals are converted into spectral entropy images by introducing pattern gradient spectral entropy (PGSE), which is used as the input of CNN, because of the great advantage of CNN in processing images and the simple and rapid calculation of the modal gradient spectral entropy. The simulation results prove that IPGSE has more stable distinguishing characteristics. Then, we improved PGSE to use particle swarm optimization algorithm to adaptively optimize the influencing parameters (scale factor λ), so that the obtained spectral entropy graph can better match the CNN. Finally, CNN mode is proposed to classify the spectral entropy diagram. The method is validated with datasets containing different fault types. The experimental results show that this method can be easily applied to the online automatic fault diagnosis of aeroengine control system sensors.


    Access

    Download


    Export, share and cite



    Title :

    Intelligent Fault Diagnosis of Aeroengine Sensors Using Improved Pattern Gradient Spectrum Entropy


    Contributors:
    Huihui Li (author) / Linfeng Gou (author) / Hua Zheng (author) / Huacong Li (author)


    Publication date :

    2021




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Dynamic Fault Diagnosis of Aeroengine Control System Sensors Based on LSTM-CNN

    Li, Huihui / Gou, Linfeng / Li, Huacong et al. | IEEE | 2023


    Aeroengine fault diagnosis based on multi-classification AdaBoost

    Cao, Huiling / Gao, Sheng / Xue, Peng | British Library Online Contents | 2018



    Method of aeroengine fault diagnosis based on a Fingerprint map

    Li, Yao-hua / Gou, Ying-qi / Pan, Cheng et al. | SAGE Publications | 2023


    LPV Robust Filter Based Fault Diagnosis Method for Aeroengine Control System

    Li, Huihui / Gou, Linfeng / Jiang, Zongting | Springer Verlag | 2024