Fuzzy logic method for motor quality types on current waveforms

被引：2

作者：

Yeh, Yun-Chi ^{[1
]}

机构：

[1] Chien Hsin Univ Sci & Technol, Dept Elect Engn, Jhongli 320, Taiwan

来源：

MEASUREMENT | 2013年 / 46卷 / 05期

关键词：

Fuzzy logic; Feature selection; Motor; Waveform identification; DESIGN;

D O I：

10.1016/j.measurement.2012.12.019

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Fuzzy logic theory is widely adopted in various fields, such as speech recognition, image retrieval and pattern recognition. This study proposes a fuzzy logic approach to analyze current waveform for determining the motor's quality types. Proper qualitative features of motor's current waveforms are selected. Based on selected qualitative features, motor's quality types are determined by using the fuzzy logic method. The accuracy of error rate is 7.377% (0.294%) for wrong judgment on defect (good) motor to be determined as good (defect). The right rate is 92.622% (99.705%) for right judgment on defect (good) motor to be determined as defect (good). (c) 2013 Elsevier Ltd. All rights reserved.

引用

页码：1682 / 1691

页数：10

共 13 条

[1] Locally edge-adapted distance for image interpolation based on genetic fuzzy system [J].