Fault diagnosis in starter motors by classification of wavelet analysis results of faulty Starter motor's current signals using fuzzy logic
Küçük Resim Yok
Tarih
2007
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Starter motors are serial wound dc motors work under heavy duty. Starter motors are used to run the internal combustion engine (ICE). Internal combustion engines can not be run when starter motor is defective. The values of current drawn by starter motor and the voltage across the starter motor vary depending on time. In the analysis of time dependent signals (unstable signals), Wavelet Analysis (WA) is used. In this study, the current and the voltage signals of starter motors are measured by using a measurement rig and current signals of a starter motor is decomposed to its components with the help of Wavelet Analysis. With the use of coefficients derived from the decomposition, defects observed in starter motors and starter system is classified using fuzzy logic. A graphical user interface (GUI) software has been developed by using MATLAB for fault diagnosis. By using this developed fault diagnosis system, six defects seen in starter motors frequently have been diagnosed successfully.
Açıklama
Anahtar Kelimeler
Fault diagnosis, Fuzzy logic, Starter motor, Wavelet analysis
Kaynak
Journal of the Faculty of Engineering and Architecture of Gazi University
WoS Q Değeri
Scopus Q Değeri
Q2
Cilt
22
Sayı
2
