TY  - JOUR
T1  - Intelligent Sensorless Fault Diagnosis of Mechatronics Module
Wavelet Transformation Based
AU - Kruglova, Tatiana AU - Zinin, Aleksey AU - Tarkovalin, Stas AU - Litvin, Dmitriy AU - Leukhin, Roman AU - Yanvarev, Sergey AU - Shurygin, Dmitriy AU - Shaykhutdinov, Danil 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 22
SP  - 4694
EP  - 4697
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.4694.4697
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.4694.4697
KW  - fault diagnosis
KW  -fuzzy model
KW  -Wavelet transformation
KW  -mechatronics module
KW  -stator current signal
KW  -sensorless control
AB  - This study describes a fault diagnosis system for mechatronics modules realized through the
combination of wavelet transformation, fuzzy logic and neural network techniques. As a reference base we have
selected Daubechies wavelet. Fault diagnoses accomplish the characteristic frequencies using the fuzzy logic
in aggregate neural network. The combination of advanced techniques reduces the learning time and increases
the diagnosis accuracy. The experimental results indicate that the proposed method is promising for the
mechatronics modules.
ER  -