Accurate Criteria for Broken Bar Detection in Induction Motors Based on the Wavelet (Packet) Transform

被引:1
作者
Antonino-Daviu, Jose Alfonso [1 ]
Martinez-Gimenez, Felix [2 ]
Peris, Alfred [2 ]
Ramezanzadeh, Nasrin [2 ]
Rodenas, Francisco [2 ]
机构
[1] Univ Politecn Valencia, Inst Tecnol Energia, Valencia 46022, Spain
[2] Univ Politecn Valencia, Inst Univ Matemat Pura & Aplicada, Valencia 46022, Spain
关键词
wavelet transform; wavelet packet transform; faults detection; electrical machine; broken bars;
D O I
10.3390/math12071057
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Finding reliable and robust criteria for the detection of broken bars in induction motors is key for the maintenance of industrial engines, and some of the most efficient methods analyze the stator start-up current. Due to the transitory characteristics and short duration of the signal, suitable time-frequency mathematical tools are very useful for this purpose. We propose here algorithms based on the discrete wavelet and wavelet packet transform, combined with other tools in signal processing, to offer an accurate quantitative method for failure detection due to broken bars in induction motors. A good selection of the wavelet family is important for a good performance of the indicator, and the discrete approximation of the Meyer wavelet, 'dmeyer', consistently demonstrates the most favorable results. Our findings highlight the effectiveness of both the wavelet and wavelet packet transforms in accurately detecting broken bars in induction motors. This fact allows optimal monitoring strategies in industrial applications.
引用
收藏
页数:14
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