Fault Detection in Three-phase Induction Motor based on Data Acquisition and ANN based Data Processing


  • Ovidiu Gheorghe Moldovan Department of Mechatronics, University of Oradea, Romania
  • Remus Vladimir Ghincu Doctoral School of Industrial Engineering, University of Oradea, Romania
  • Alin Octavian Moldovan Doctoral School of Industrial Engineering, University of Oradea, Romania
  • Dan Noje Doctoral School of Industrial Engineering, University of Oradea, Romania
  • Radu Catalin Tarca Department of Mechatronics, University of Oradea, Romania




fault detection, feedforward artificial neural network, induction motor, parameter control, automated error detection


The main objective of this paper is to investigate how a failure in the functioning of a normal electrical system represented by a three-phase asynchronous motor will modify the voltages and currents present in the system and if it is possible to design a system that is able to automatically detect the fault, based on the use of modern data acquisition system and powerful computer processing capabilities. The detection of faulty signals is realised using Feedforward Artificial Neural Networks.


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