A Temporal Neuro-Fuzzy Monitoring System to Manufacturing Systems ISSN (Online): 1694-0814

Citation:

Mahdaoui, Rafik, et al. 2011. “A Temporal Neuro-Fuzzy Monitoring System to Manufacturing Systems ISSN (Online): 1694-0814”. IJCSI International Journal of Computer Science Issues Vol. 8 (Issue 3 No1) : pp 237-246.

Abstract:

Fault diagnosis and failure prognosis are essential techniques in improving the safety of many manufacturing systems. Therefore, on-line fault detection and isolation is one of the most important tasks in safety-critical and intelligent control systems. Computational intelligence techniques are being investigated as extension of the traditional fault diagnosis methods. This paper discusses the Temporal Neuro-Fuzzy Systems (TNFS) fault diagnosis within an application study of a manufacturing system. The key issues of finding a suitable structure for detecting and isolating ten realistic actuator faults are described. Within this framework, data-processing interactive software of simulation baptized NEFDIAG (NEuro Fuzzy DIAGnosis) version 1.0 is developed. This software devoted primarily to creation, training and test of a classification Neuro-Fuzzy system of industrial process failures. NEFDIAG can be represented like a special type of fuzzy perceptron, with three layers used to classify patterns and failures. The system selected is the workshop of SCIMAT clinker, cement factory in Algeria

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