| Issue |
MATEC Web of Conferences
Volume 51, 2016
2016 International Conference on Mechanical, Manufacturing, Modeling and Mechatronics (IC4M 2016)
|
|
|---|---|---|
| Article Number | 03007 | |
| Number of page(s) | 7 | |
| Section | Chapter 3: Experimental and Empirical Studies in Mechanical and Manufacturing Engineering | |
| DOI | https://doi.org/10.1051/matecconf/20165103007 | |
| Published online | 06 April 2016 | |
Varying Load Detection in A Gearbox System Based on Adaptive Threshold Estimation
1 Signals and Systems Laboratory, Institute of Electrical and Electronics Engineering, University of Boumerdes
2 Department of Mechanical Engineering, College of Engineering, University of Anbar, Iraq
3 School of Engineering, Manchester Metropolitan University, Manchester M1 5GD, UK
a Corresponding author: a_kouadri@hotmail.com
This article presents an adaptive threshold computation for varying load detection in gearbox system. This method was applied on the vibration signal which is captured from gearbox housing. The experimental work was carried out using a three-stage gearbox connected with a motor and a generator. The developed adaptive threshold is obtained through several repeated experiments in the healthy mode and under the same operating conditions. An appropriate statistical test is used to examine the validity of the adaptive threshold estimation approach. Besides and for all experiments, a confidence interval is obtained which is closely linked to the distribution frequencies of the gearbox vibration signal as a random variable. In addition, several significance levels are considered to show the performances of the proposed adaptive thresholding technique compared to the limitations of the fixed threshold through the rate of false detection alarms. It is demonstrated from various experimental varying load mode of a gearbox system the effectiveness and accuracy of the adaptive threshold in term of evaluating gearbox operating conditions.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.