Enhanced auto-associative neural networks for sensor diagnostics (E-AANN)

We address the problem of sensor fault diagnosis in complex systems. The motivation for this work is the common problem encountered in industrial setting, i.e. sensor shift, drift and outright failure. The approach proposed in this paper is based on auto-associative neural networks but has been exte...

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Bibliographische Detailangaben
Hauptverfasser:	Najafi, M., Gulp, C., Langari, R.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Capacitive sensors Computer science control theory systems Computer systems and distributed systems. User interface Control theory. Systems Cost function Exact sciences and technology Fault detection Fault diagnosis Mechanical engineering Mechanical sensors Modelling and identification Neural networks Robustness Sensor systems Software
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