Induction motor fault detection and diagnosis using a current state space pattern recognition
Induction motor fault detection and diagnosis using a current state space pattern recognition
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DOI：
10.1016/j.patrec.2010.09.010
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
J. Martins;V. Pires;T. Amaral
中科院分区：
文献类型：
--
作者：
J. Martins;V. Pires;T. Amaral
In the last few decades the continuous monitoring of complex dynamic systems has become an increasingly important issue across diverse engineering areas. This paper presents a pattern recognition based system that uses visual-based efficient invariants features for continuous monitoring of induction motors. The procedures presented here are based on the image identification of the 3-D current state space patterns that allow the identification of distinct fault types and, furthermore, their corresponding severity. This automatic fault detection system deals with time-variant electric currents and is based on the identification of three-phase stator currents specified patterns. Several simulation and experimental results are also presented in order to verify the effectiveness of the proposed methodology.
