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Paper Information

Journal:   AEROSPACE MECHANICS JOURNAL   WINTER 2019 , Volume 14 , Number 4 (54) ; Page(s) 101 To 113.
 
Paper: 

BEARING FAULT DETECTION USING EMPIRICAL MODE DECOMPOSITION TECHNIQUE

 
 
Author(s):  GHOHYEI M., NOURI KHAJAVI M.*, RABIEI A.
 
* MECHANICAL ENGINEERING DEPARTMENT, SHAHID RAJAEE TEACHER TRAINING UNIVERSITY
 
Abstract: 

Bearings are the most important and most used components in different industries. Early bearing fault diagnosis can prevent human and financial losses. One of the best methods for fault diagnosis of these elements is via vibration analysis. In this paper Empirical Mode Decomposition (EMD) which is a fairly new signal processing method of nonlinear and nonstationary signals is used for analyzing vibration signals extracted from bearings. This method was proposed by Huang in 1998. In this research, extracted signal from healthy and faulty bearings are decomposed in to empirical modes. By analyzing different empirical modes from 8 derived empirical modes for healthy and faulty bearings under different load conditions from zero to three horsepower, the first mode has the most information to classify bearing condition. From the first empirical mode six features in time domain were calculated for healthy bearing, bearing with inner race fault, bearing with outer race fault and bearing with ball fault. These eight features were used as input vector to a designed ANFIS network for bearing condition classification. The ANFIS network was able to detect different condition of bearing with 100% precession.

 
Keyword(s): BEARING FAULT DETECTION, EMPIRICAL MODE DECOMPOSITION, VIBRATION SIGNAL, SIGNAL PROCESSING, ANFIS
 
 
References: 
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Citations: 
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+ Click to Cite.
APA: Copy

GHOHYEI, M., & NOURI KHAJAVI, M., & RABIEI, A. (2019). BEARING FAULT DETECTION USING EMPIRICAL MODE DECOMPOSITION TECHNIQUE. AEROSPACE MECHANICS JOURNAL, 14(4 (54) ), 101-113. https://www.sid.ir/en/journal/ViewPaper.aspx?id=572807



Vancouver: Copy

GHOHYEI M., NOURI KHAJAVI M., RABIEI A.. BEARING FAULT DETECTION USING EMPIRICAL MODE DECOMPOSITION TECHNIQUE. AEROSPACE MECHANICS JOURNAL. 2019 [cited 2021August02];14(4 (54) ):101-113. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=572807



IEEE: Copy

GHOHYEI, M., NOURI KHAJAVI, M., RABIEI, A., 2019. BEARING FAULT DETECTION USING EMPIRICAL MODE DECOMPOSITION TECHNIQUE. AEROSPACE MECHANICS JOURNAL, [online] 14(4 (54) ), pp.101-113. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=572807.



 
 
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