International Journal of Fuzzy Logic and Intelligent Systems

Korean Institute of Intelligent Systems (한국지능시스템학회)
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A Matlab and Simulink Based Three-Phase Inverter Fault Diagnosis Method Using Three-Dimensional Features

  • Talha, Muhammad (School of Electronics and Information Engineering, Kunsan National University) ;
  • Asghar, Furqan (School of Electronics and Information Engineering, Kunsan National University) ;
  • Kim, Sung Ho (School of IT, Information and Control Engineering, Kunsan National University)
  • Received : 2016.07.12
  • Accepted : 2016.09.21
  • Published : 2016.09.25
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Abstract

Fault detection and diagnosis is a task to monitor the occurrence of faults and pinpoint the exact location of faults in the system. Fault detection and diagnosis is gaining importance in development of efficient, advanced and safe industrial systems. Three phase inverter is one of the most common and excessively used power electronic system in industries. A fault diagnosis system is essential for safe and efficient usage of these inverters. This paper presents a fault detection technique and fault classification algorithm. A new feature extraction approach is proposed by using three-phase load current in three-dimensional space and neural network is used to diagnose the fault. Neural network is responsible of pinpointing the fault location. Proposed method and experiment results are presented in detail.

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References

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