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Information Journal Paper

Title

BEARING FAULT DETECTION USING EMPIRICAL MODE DECOMPOSITION TECHNIQUE

Pages

  101-113

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.

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    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. SID. https://sid.ir/paper/360008/en

    Vancouver: Copy

    GHOHYEI M., NOURI KHAJAVI M., RABIEI A.. BEARING FAULT DETECTION USING EMPIRICAL MODE DECOMPOSITION TECHNIQUE. AEROSPACE MECHANICS JOURNAL[Internet]. 2019;14(4 (54) ):101-113. Available from: https://sid.ir/paper/360008/en

    IEEE: Copy

    M. GHOHYEI, M. NOURI KHAJAVI, and A. RABIEI, “BEARING FAULT DETECTION USING EMPIRICAL MODE DECOMPOSITION TECHNIQUE,” AEROSPACE MECHANICS JOURNAL, vol. 14, no. 4 (54) , pp. 101–113, 2019, [Online]. Available: https://sid.ir/paper/360008/en

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