Home > Research > Publications & Outputs > Fault diagnosis of vacuum cleaner motors
View graph of relations

Fault diagnosis of vacuum cleaner motors

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Fault diagnosis of vacuum cleaner motors. / Tinta, D.; Petrovčič, J.; Benko, U. et al.
In: Control Engineering Practice, Vol. 13, No. 2, 02.2005, p. 177-187.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Tinta, D, Petrovčič, J, Benko, U, Juričić, D, Rakar, A, Zele, H, Tavčar, J, Rejec, J & Stefanvoska, A 2005, 'Fault diagnosis of vacuum cleaner motors', Control Engineering Practice, vol. 13, no. 2, pp. 177-187. https://doi.org/10.1016/j.conengprac.2004.03.001

APA

Tinta, D., Petrovčič, J., Benko, U., Juričić, D., Rakar, A., Zele, H., Tavčar, J., Rejec, J., & Stefanvoska, A. (2005). Fault diagnosis of vacuum cleaner motors. Control Engineering Practice, 13(2), 177-187. https://doi.org/10.1016/j.conengprac.2004.03.001

Vancouver

Tinta D, Petrovčič J, Benko U, Juričić D, Rakar A, Zele H et al. Fault diagnosis of vacuum cleaner motors. Control Engineering Practice. 2005 Feb;13(2):177-187. doi: 10.1016/j.conengprac.2004.03.001

Author

Tinta, D. ; Petrovčič, J. ; Benko, U. et al. / Fault diagnosis of vacuum cleaner motors. In: Control Engineering Practice. 2005 ; Vol. 13, No. 2. pp. 177-187.

Bibtex

@article{f3168d8d3d93460cbdfbfcf5b61914ec,
title = "Fault diagnosis of vacuum cleaner motors",
abstract = "In-depth and automatic quality end-tests in modern manufacturing represent an important means for the assurance of top-quality and flawless products. Tough competition on the market of vacuum cleaner motors is increasing the need for fast, reliable and objective quality assessment of every single unit at the end of the assembly cycle. As a step towards meeting these objectives, a prototype version of the diagnostic system for quality tests of vacuum cleaner motors has been designed. The core of the system contains four modules for features extraction that employ, respectively: analysis of commutation, vibration analysis, sound analysis and check of parity relations. The symptoms resulting therefrom are processed by an approximate reasoning module, which utilises the technique referred to as the transferable belief model (TBM). The comprehensive diagnostic procedure is able to clearly distinguish a faulty motor from a non-faulty one and to infer about the tentative fault location. Main contributions of the paper refer to the novel feature extraction procedures, which provide a reliable estimate of the motor's condition. The system performance has been surveyed on a set of about 100 motors subjected to a detailed experimental study. An excerpt is also presented, reflecting the key properties of the diagnostic system performance, such as precision, accuracy, robustness and reliability.",
keywords = "Universal motor, Fault diagnosis, Vibration, Sound analysis, Approximate reasoning",
author = "D. Tinta and J. Petrov{\v c}i{\v c} and U. Benko and D. Juri{\v c}i{\'c} and A. Rakar and H. Zele and J Tav{\v c}ar and J. Rejec and Aneta Stefanvoska",
year = "2005",
month = feb,
doi = "10.1016/j.conengprac.2004.03.001",
language = "English",
volume = "13",
pages = "177--187",
journal = "Control Engineering Practice",
issn = "0967-0661",
publisher = "Elsevier Limited",
number = "2",

}

RIS

TY - JOUR

T1 - Fault diagnosis of vacuum cleaner motors

AU - Tinta, D.

AU - Petrovčič, J.

AU - Benko, U.

AU - Juričić, D.

AU - Rakar, A.

AU - Zele, H.

AU - Tavčar, J

AU - Rejec, J.

AU - Stefanvoska, Aneta

PY - 2005/2

Y1 - 2005/2

N2 - In-depth and automatic quality end-tests in modern manufacturing represent an important means for the assurance of top-quality and flawless products. Tough competition on the market of vacuum cleaner motors is increasing the need for fast, reliable and objective quality assessment of every single unit at the end of the assembly cycle. As a step towards meeting these objectives, a prototype version of the diagnostic system for quality tests of vacuum cleaner motors has been designed. The core of the system contains four modules for features extraction that employ, respectively: analysis of commutation, vibration analysis, sound analysis and check of parity relations. The symptoms resulting therefrom are processed by an approximate reasoning module, which utilises the technique referred to as the transferable belief model (TBM). The comprehensive diagnostic procedure is able to clearly distinguish a faulty motor from a non-faulty one and to infer about the tentative fault location. Main contributions of the paper refer to the novel feature extraction procedures, which provide a reliable estimate of the motor's condition. The system performance has been surveyed on a set of about 100 motors subjected to a detailed experimental study. An excerpt is also presented, reflecting the key properties of the diagnostic system performance, such as precision, accuracy, robustness and reliability.

AB - In-depth and automatic quality end-tests in modern manufacturing represent an important means for the assurance of top-quality and flawless products. Tough competition on the market of vacuum cleaner motors is increasing the need for fast, reliable and objective quality assessment of every single unit at the end of the assembly cycle. As a step towards meeting these objectives, a prototype version of the diagnostic system for quality tests of vacuum cleaner motors has been designed. The core of the system contains four modules for features extraction that employ, respectively: analysis of commutation, vibration analysis, sound analysis and check of parity relations. The symptoms resulting therefrom are processed by an approximate reasoning module, which utilises the technique referred to as the transferable belief model (TBM). The comprehensive diagnostic procedure is able to clearly distinguish a faulty motor from a non-faulty one and to infer about the tentative fault location. Main contributions of the paper refer to the novel feature extraction procedures, which provide a reliable estimate of the motor's condition. The system performance has been surveyed on a set of about 100 motors subjected to a detailed experimental study. An excerpt is also presented, reflecting the key properties of the diagnostic system performance, such as precision, accuracy, robustness and reliability.

KW - Universal motor

KW - Fault diagnosis

KW - Vibration

KW - Sound analysis

KW - Approximate reasoning

U2 - 10.1016/j.conengprac.2004.03.001

DO - 10.1016/j.conengprac.2004.03.001

M3 - Journal article

VL - 13

SP - 177

EP - 187

JO - Control Engineering Practice

JF - Control Engineering Practice

SN - 0967-0661

IS - 2

ER -