Fault diagnosis of an electro-pneumatic valve actuator using neural networks with fuzzy capabilities

  title={Fault diagnosis of an electro-pneumatic valve actuator using neural networks with fuzzy capabilities},
  author={Faisel J. Uppal and Ronald J. Patton},
The early detection of faults (just beginning and still developing) can help avoid system shutdown, breakdown and even catastrophes involving human fatalities and material damage. Computational intelligence techniques are being investigated as an extension to the traditional fault diagnosis methods. This paper discusses the neuro-fuzzy approach to modelling and fault diagnosis, based on the TSK/Mamdani approaches. An application study of an electro-pneumatic valve actuator in a sugar factory is… CONTINUE READING
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