Gearbox Fault Features Extraction Using Vibration Measurements and Novel Adaptive Filtering Scheme
Joint Authors
Ibrahim, Ghalib R.
Albarbar, Alhussein
Source
Advances in Acoustics and Vibration
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-07-24
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Vibration signals measured from a gearbox are complex multicomponent signals, generated by tooth meshing, gear shaft rotation, gearbox resonance vibration signatures, and a substantial amount of noise.
This paper presents a novel scheme for extracting gearbox fault features using adaptive filtering techniques for enhancing condition features, meshing frequency sidebands.
A modified least mean square (LMS) algorithm is examined and validated using only one accelerometer, instead of using two accelerometers in traditional arrangement, as the main signal and a desired signal is artificially generated from the measured shaft speed and gear meshing frequencies.
The proposed scheme is applied to a signal simulated from gearbox frequencies with a numerous values of step size.
Findings confirm that 10−5 step size invariably produces more accurate results and there has been a substantial improvement in signal clarity (better signal-to-noise ratio), which makes meshing frequency sidebands more discernible.
The developed scheme is validated via a number of experiments carried out using two-stage helical gearbox for a healthy pair of gears and a pair suffering from a tooth breakage with severity fault 1 (25% tooth removal) and fault 2 (50% tooth removal) under loads (0%, and 80% of the total load).
The experimental results show remarkable improvements and enhance gear condition features.
This paper illustrates that the new approach offers a more effective way to detect early faults.
American Psychological Association (APA)
Ibrahim, Ghalib R.& Albarbar, Alhussein. 2012. Gearbox Fault Features Extraction Using Vibration Measurements and Novel Adaptive Filtering Scheme. Advances in Acoustics and Vibration،Vol. 2012, no. 2012, pp.1-7.
https://search.emarefa.net/detail/BIM-460198
Modern Language Association (MLA)
Ibrahim, Ghalib R.& Albarbar, Alhussein. Gearbox Fault Features Extraction Using Vibration Measurements and Novel Adaptive Filtering Scheme. Advances in Acoustics and Vibration No. 2012 (2012), pp.1-7.
https://search.emarefa.net/detail/BIM-460198
American Medical Association (AMA)
Ibrahim, Ghalib R.& Albarbar, Alhussein. Gearbox Fault Features Extraction Using Vibration Measurements and Novel Adaptive Filtering Scheme. Advances in Acoustics and Vibration. 2012. Vol. 2012, no. 2012, pp.1-7.
https://search.emarefa.net/detail/BIM-460198
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-460198