Review and comparison of tacholess instantaneous speed estimation methods on experimental vibration data
Name
paper_speed_estimation_review_draft.pdf
Description
Accepted version
Size
18.58 MB
Format
Adobe PDF
Checksum (MD5)
b57aebaed5536353c8e2a530792740b9
Author(s)
Peeters, Cédric
Leclère, Quentin
Antoni, Jérôme
Lindahl, Peter
Donnal, John
Leeb, Steven B.
Helsen, Jan
Date Issued
April 2019
Journal
Mechanical Systems and Signal Processing
Publisher
Elsevier BV
Citation
Peeters, Cédric et al. "Review and comparison of tacholess instantaneous speed estimation methods on experimental vibration data." Mechanical Systems and Signal Processing 129 (August 20190: 407-436. © 2019 Elsevier Ltd
Version
Author's final manuscript
Abstract
Instantaneous speed estimation has become a key part of many condition monitoring procedures for rotating machinery. The ability to track the rotational speed of a system is a critical requirement for the majority of vibration-based condition monitoring methods. Information about the speed enables compensating for potential speed variations that would otherwise impair conventional frequency-based methods. The problem of instantaneous speed estimation based on the vibration signals themselves is one that has received a significant amount of attention in recent years. Installing encoders or tachometers has become a lot less attractive due to the potential cost savings that can be obtained by simply utilizing an accelerometer instead. However, trying to find a speed estimation method that fits a certain application “best” is not so straightforward if one inspects the available literature. It turns out that there are many articles that present slight variations or extensions to already existing techniques. This paper targets a general overview of the available knowledge regarding vibration-based speed estimation techniques. It also aims to review some of the most commonly used techniques by means of a performance comparison of seven speed estimation methods on three different experimental data sets. The resulting speed estimation data of all tested methods is made publicly available such that it can help in forming a benchmark for future speed estimation methods.
MIT Department
Massachusetts Institute of Technology. Research Laboratory of Electronics
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/j.ymssp.2019.02.031
