1Dept of Instrumentation and Control Engineering, Haldia Institute of Technology, Haldia, Purba Medinipur, West Bengal.
2Dept of Applied Physics, University College of Technology, Kolkata, West Bengal.
Many researches dealt with the problem of electromechanical devices fault detection and diagnosis. The early detection of faults can help to avoid system shutdown, breakdown and reduce the material damage. Artificial intelligence techniques are being investigated as extension traditional fault diagnosis methods. In this paper we analysis the fault of motor by using Adaptive Neuro-Fuzzy Inference System (ANFIS). Data used for training and checking of the ANFIS model is obtained from the experiment.
Adaptive neural fuzzy inference system (ANFIS), Artificial intelligence, electromechanical device, training data, checking data
