- Volume 15 Number 4 (2024)
- Volume 15 Number 3 (2024)
- Volume 15 Number 2 (2024)
- Volume 15 Number 1 (2024)
- Volume 14 Number 4 (Nov. 2023)
- Volume 14 Number 3 (Aug. 2023)
- Volume 14 Number 2 (May 2023)
- Volume 14 Number 1 (Feb. 2023)
- Volume 13 Number 4 (Nov. 2022)
- Volume 13 Number 3 (Aug. 2022)
- Volume 13 Number 2 (May 2022)
- Volume 13 Number 1 (Feb. 2022)
- Volume 12 Number 4 (Nov. 2021)
- Volume 12 Number 3 (Aug. 2021)
- Volume 12 Number 2 (May. 2021)
- Volume 12 Number 1 (Feb. 2021)
- Volume 11 Number 6 (Dec. 2020)
- Volume 11 Number 5 (Oct. 2020)
- Volume 11 Number 4 (Aug. 2020)
- Volume 11 Number 3 (Jun. 2020)
- Volume 11 Number 2 (Apr. 2020)
- Volume 11 Number 1 (Feb. 2020)
- Volume 10 Number 6 (Dec. 2019)
- Volume 10 Number 5 (Oct. 2019)
- Volume 10 Number 4 (Aug. 2019)
- Volume 10 Number 3 (Jun. 2019)
- Volume 10 Number 2 (Apr. 2019)
- Volume 10 Number 1 (Feb. 2019)
- Volume 9 Number 6 (Dec. 2018)
- Volume 9 Number 5 (Oct. 2018)
- Volume 9 Number 4 (Aug. 2018)
- Volume 9 Number 3 (Jun. 2018)
- Volume 9 Number 2 (Apr. 2018)
- Volume 9 Number 1 (Feb. 2018)
- Volume 8 Number 6 (Dec. 2017)
- Volume 8 Number 5 (Oct. 2017)
- Volume 8 Number 4 (Aug. 2017)
- Volume 8 Number 3 (Jun. 2017)
- Volume 8 Number 2 (Apr. 2017)
- Volume 8 Number 1 (Feb. 2017)
- Volume 7 Number 6 (Dec. 2016)
- Volume 7 Number 5 (Oct. 2016)
- Volume 7 Number 4 (Aug. 2016)
- Volume 7 Number 3 (Jun. 2016)
- Volume 7 Number 2 (Apr. 2016)
- Volume 7 Number 1 (Feb. 2016)
- Volume 6 Number 6 (Dec. 2015)
- Volume 6 Number 5 (Oct. 2015)
- Volume 6 Number 4 (Aug. 2015)
- Volume 6 Number 3 (Jun. 2015)
- Volume 6 Number 2 (Apr. 2015)
- Volume 6 Number 1 (Feb. 2015)
- Volume 5 Number 6 (Dec. 2014)
- Volume 5 Number 5 (Oct. 2014)
- Volume 5 Number 4 (Aug. 2014)
- Volume 5 Number 3 (Jun. 2014)
- Volume 5 Number 2 (Apr. 2014)
- Volume 5 Number 1 (Feb. 2014)
- Volume 4 Number 6 (Dec. 2013)
- Volume 4 Number 5 (Oct. 2013)
- Volume 4 Number 4 (Aug. 2013)
- Volume 4 Number 3 (Jun. 2013)
- Volume 4 Number 2 (Apr. 2013)
- Volume 4 Number 1 (Feb. 2013)
- Volume 3 Number 6 (Dec. 2012)
- Volume 3 Number 5 (Oct. 2012)
- Volume 3 Number 4 (Aug. 2012)
- Volume 3 Number 3 (Jun. 2012)
- Volume 3 Number 2 (Apr. 2012)
- Volume 3 Number 1 (Feb. 2012)
- Volume 2 Number 6 (Dec. 2011)
- Volume 2 Number 5 (Oct. 2011)
- Volume 2 Number 4 (Aug. 2011)
- Volume 2 Number 3 (Jun. 2011)
- Volume 2 Number 2 (Apr. 2011)
- Volume 2 Number 1 (Feb. 2011)
2025
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
- ISSN: 2010-0248 (Print)
- Abbreviated Title: Int. J. Innov. Manag. Technol.
- Frequency: Quarterly
- DOI: 10.18178/IJIMT
- Editor-in-Chief: Prof. Jin Wang
- Managing Editor: Ms. Nancy Y. Liu
- Abstracting/ Indexing: Google Scholar, CNKI, Ulrich's Periodicals Directory, Crossref, Electronic Journals Library.
E-mail: editor@ijimt.org
- Article Processing Charge: 500 USD
Bearing Fault Analysis Using Frequency Analysis and Wavelet Analysis
Abstract—Bearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machineries can save millions of dollars in emergency maintenance cost. Different techniques are used for fault analysis such as short time Fourier transforms (STFT), Wavelet analysis (WA),cestrum analysis, Model based analysis, etc. This Paper explains the procedure for detecting bearing faults using FFT and by using Wavelet analysis more specifically HAAR wavelet up to two levels of approximations and detail components. The analysis is carried out offline in MATLAB.
Index Terms—Fault diagnosis, bearings, wavelet Analysis methods.
M. Natu is with Electrical Engineering Department ADCET Ashta (email:milind.natu1@gmail.com).
Cite: Milind Natu, "Bearing Fault Analysis Using Frequency Analysis and Wavelet Analysis," International Journal of Innovation, Management and Technology vol. 4, no. 1, pp. 90-92, 2013.