This paper is concerned with gas leakage fault detection of a pneumatic pipe system using a neural network filter. In modern plants, the ability to detect and identify gas leakage faults is becoming increasingly important. The main difficulty to detect gas leakage faults by sound signals lies in that the practical plants are usually very noisy. In this research, neural networks are used as nonlinear filters to eliminate noise and raise the signal noise ratio of the sound signal. Neural networks have a self-learning ability. This ability can be utilized to build a self-adaptive nonlinear filter. By learning from practical samples of noise and adjusting coefficients of connection weights of neural networks, a neural network filter can predict the future sample values of noise based on present and previous sample values. The predicted error between predicted values and practical ones constitutes output of the filter. If the predicted error is zero, then there is no leakage. If the predicted error is greater than a certain value, then there is a leakage fault. Through application to practical pneumatic systems, it is verified that nonlinear filters with neural networks was effective in gas leakage detection from noise background.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Gas leakage fault detection of pneumatic pipe system using neural 'networks


    Weitere Titelangaben:

    Gas-Leckfehlererkennung in einem pneumatischen Rohrsystem unter Einsatz neuronaler Netzwerke


    Beteiligte:
    Zhang, Sheng (Autor:in) / Asakura, Toshiyuki (Autor:in) / Hayashi, Shoji (Autor:in)


    Erscheinungsdatum :

    2004


    Format / Umfang :

    6 Seiten, 15 Bilder, 2 Tabellen, 18 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Radial Basis Neural Networks Based Fault Detection and Isolation Scheme for Pneumatic Actuator

    Prabakaran, K / S, Kaushik / R, Mouleeshuwarapprabu | BASE | 2014

    Freier Zugriff


    Pneumatic control valve for pneumatic balance crane air pipe

    WU ZHANG | Europäisches Patentamt | 2023

    Freier Zugriff

    Railway wagon brake pipe system leakage fault monitoring method and device and electronic equipment

    WANG HEFA / SHI WEILONG / LI ZHIQIAN et al. | Europäisches Patentamt | 2024

    Freier Zugriff

    An LQI Control for Pneumatic Cylinder Using Unsupervised Neural Networks

    Katsumata, K. / Fujiwara, A. / Ishida, Y. et al. | British Library Online Contents | 1996