论文信息 - A method for fault detection and isolation using neural networks - 字舞流文

A method for fault detection and isolation using neural networks

A method for fault detection is proposed using a trained neural network as the nominal model of the system to be monitored. Partial physical knowledge, if available, can be combined with the nominal model to perform fault isolation.

Youmin Zhang | Qinghua Zhang

[1] Steven E. Shladover. Research and development needs for advanced vehicle control systems , 1993, IEEE Micro.

[2] Lennart Ljung,et al. Nonlinear black-box modeling in system identification: a unified overview , 1995, Autom..

[3] J. Dieudonné,et al. Fondements de l'analyse moderne , 1969 .

[4] Michèle Basseville,et al. Early warning of slight changes in systems , 1994, Autom..

[5] Michèle Basseville,et al. The asymptotic local approach to change detection and model validation , 1987 .

[6] Michèle Basseville,et al. Detection of abrupt changes: theory and application , 1993 .

[7] Ramaswamy Vaidyanathan,et al. Process fault detection and diagnosis using neural networks , 1990 .

[8] Marcello R. Napolitano,et al. Aircraft failure detection and identification using neural networks , 1993 .

[9] Qinghua Zhang,et al. Early Warning of Slight Changes in Systems and Plants , 1993 .

[10] Michèle Basseville,et al. Detection of Abrupt Changes: Theory and Applications. , 1995 .

[11] Hans B. Pacejka,et al. Tyre Modelling for Use in Vehicle Dynamics Studies , 1987 .