An approach to fault diagnosis of vacuum cleaner motors based on sound analysis
(2005) In Mechanical Systems and Signal Processing 19(2). p.427-445- Abstract
- This paper addresses the problem of the detailed quality end-test of vacuum cleaner motors at the end of the manufacturing cycle. For the prototyping purposes a test rig has been constructed and is presented in short. The diagnostic system built hereto takes advantage of vibration, sound and commutation analysis as well as parity relation checks. The paper focuses on the sound analysis module and provides two main contributions. First, an analysis of sound sources is performed and a set of appropriate features is suggested. Second, efficient signal processing algorithms are developed in order to detect and localise bearing faults, defects in fan impeller, improper brush–commutator contacts and rubbing of rotating surfaces. A thorough... (More)
- This paper addresses the problem of the detailed quality end-test of vacuum cleaner motors at the end of the manufacturing cycle. For the prototyping purposes a test rig has been constructed and is presented in short. The diagnostic system built hereto takes advantage of vibration, sound and commutation analysis as well as parity relation checks. The paper focuses on the sound analysis module and provides two main contributions. First, an analysis of sound sources is performed and a set of appropriate features is suggested. Second, efficient signal processing algorithms are developed in order to detect and localise bearing faults, defects in fan impeller, improper brush–commutator contacts and rubbing of rotating surfaces. A thorough laboratory study shows that the underlying diagnostic modules provide accurate diagnosis, high sensitivity with respect to faults, and good diagnostic resolution. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/7d87f4b4-ebd9-4632-ab0a-e7120682c1c4
- author
- Benko, Uros̆ ; Petrovc̆ic̆, Janko ; Juricic, Đani ; Tavcar, Joze LU and Rejec, Jožica
- publishing date
- 2005
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Sound analysis, Fault detection, Electrical motors, Hilbert transform, Signal processing
- in
- Mechanical Systems and Signal Processing
- volume
- 19
- issue
- 2
- pages
- 19 pages
- publisher
- Elsevier
- external identifiers
-
- scopus:4344689113
- ISSN
- 0888-3270
- DOI
- 10.1016/j.ymssp.2003.09.004
- language
- English
- LU publication?
- no
- id
- 7d87f4b4-ebd9-4632-ab0a-e7120682c1c4
- date added to LUP
- 2020-10-13 17:33:05
- date last changed
- 2022-03-18 20:15:35
@article{7d87f4b4-ebd9-4632-ab0a-e7120682c1c4,
abstract = {{This paper addresses the problem of the detailed quality end-test of vacuum cleaner motors at the end of the manufacturing cycle. For the prototyping purposes a test rig has been constructed and is presented in short. The diagnostic system built hereto takes advantage of vibration, sound and commutation analysis as well as parity relation checks. The paper focuses on the sound analysis module and provides two main contributions. First, an analysis of sound sources is performed and a set of appropriate features is suggested. Second, efficient signal processing algorithms are developed in order to detect and localise bearing faults, defects in fan impeller, improper brush–commutator contacts and rubbing of rotating surfaces. A thorough laboratory study shows that the underlying diagnostic modules provide accurate diagnosis, high sensitivity with respect to faults, and good diagnostic resolution.}},
author = {{Benko, Uros̆ and Petrovc̆ic̆, Janko and Juricic, Đani and Tavcar, Joze and Rejec, Jožica}},
issn = {{0888-3270}},
keywords = {{Sound analysis; Fault detection; Electrical motors; Hilbert transform; Signal processing}},
language = {{eng}},
number = {{2}},
pages = {{427--445}},
publisher = {{Elsevier}},
series = {{Mechanical Systems and Signal Processing}},
title = {{An approach to fault diagnosis of vacuum cleaner motors based on sound analysis}},
url = {{http://dx.doi.org/10.1016/j.ymssp.2003.09.004}},
doi = {{10.1016/j.ymssp.2003.09.004}},
volume = {{19}},
year = {{2005}},
}