Filter banks as proposal in electrical motors fault discrimination

Jhonattan Bulla; Alvaro David Orjuela-Cañón; Oscar D. Flórez

doi:10.1007/978-3-030-03023-0_5

Filter banks as proposal in electrical motors fault discrimination

Jhonattan Bulla, Alvaro David Orjuela-Cañón, Oscar D. Flórez

Research output: Chapter in Book/Inform › Chapter › Research

Abstract

Studies related with the induction motor bearings fault detection have been used digital signal processing and pattern recognition techniques. However, performance of these approaches depends on the use of correct features. This paper deals an analysis of the use of filter banks with uniform and nonuniform frequency subbands to features extraction from vibration signals. Discrimination was developed by an artificial neural network with feedforward connections. Results identifies that the employment of filter banks improve the accuracy in 23% for six considered classes related with faults in bearings.

Original language	English (US)
Title of host publication	Applications of Computational Intelligence - First IEEE Colombian Conference, ColCACI 2018, Medellín, Colombia, May 16–18, 2018, Revised Selected Papers
Editors	Alvaro David Orjuela-Cañón, Juan Carlos Figueroa-García, Julián David Arias-Londoño
Publisher	Springer
Pages	50-62
Number of pages	13
ISBN (Print)	9783030030223
DOIs	https://doi.org/10.1007/978-3-030-03023-0_5
State	Published - 2018
Externally published	Yes
Event	1st IEEE Colombian Conference on Applications in Computational Intelligence, ColCACI 2018 - Medellin, Colombia Duration: May 16 2018 → May 18 2018

Publication series

Name	Communications in Computer and Information Science
Volume	833
ISSN (Print)	1865-0929

Conference

Conference	1st IEEE Colombian Conference on Applications in Computational Intelligence, ColCACI 2018
Country/Territory	Colombia
City	Medellin
Period	5/16/18 → 5/18/18

All Science Journal Classification (ASJC) codes

General Computer Science
General Mathematics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-03023-0_5

Cite this

Bulla, J., Orjuela-Cañón, A. D., & Flórez, O. D. (2018). Filter banks as proposal in electrical motors fault discrimination. In A. D. Orjuela-Cañón, J. C. Figueroa-García, & J. D. Arias-Londoño (Eds.), Applications of Computational Intelligence - First IEEE Colombian Conference, ColCACI 2018, Medellín, Colombia, May 16–18, 2018, Revised Selected Papers (pp. 50-62). (Communications in Computer and Information Science; Vol. 833). Springer. https://doi.org/10.1007/978-3-030-03023-0_5

Bulla, Jhonattan ; Orjuela-Cañón, Alvaro David ; Flórez, Oscar D. / Filter banks as proposal in electrical motors fault discrimination. Applications of Computational Intelligence - First IEEE Colombian Conference, ColCACI 2018, Medellín, Colombia, May 16–18, 2018, Revised Selected Papers. editor / Alvaro David Orjuela-Cañón ; Juan Carlos Figueroa-García ; Julián David Arias-Londoño. Springer, 2018. pp. 50-62 (Communications in Computer and Information Science).

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title = "Filter banks as proposal in electrical motors fault discrimination",

abstract = "Studies related with the induction motor bearings fault detection have been used digital signal processing and pattern recognition techniques. However, performance of these approaches depends on the use of correct features. This paper deals an analysis of the use of filter banks with uniform and nonuniform frequency subbands to features extraction from vibration signals. Discrimination was developed by an artificial neural network with feedforward connections. Results identifies that the employment of filter banks improve the accuracy in 23% for six considered classes related with faults in bearings.",

author = "Jhonattan Bulla and Orjuela-Ca{\~n}{\'o}n, {Alvaro David} and Fl{\'o}rez, {Oscar D.}",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2018.; 1st IEEE Colombian Conference on Applications in Computational Intelligence, ColCACI 2018 ; Conference date: 16-05-2018 Through 18-05-2018",

year = "2018",

doi = "10.1007/978-3-030-03023-0_5",

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booktitle = "Applications of Computational Intelligence - First IEEE Colombian Conference, ColCACI 2018, Medell{\'i}n, Colombia, May 16–18, 2018, Revised Selected Papers",

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Bulla, J, Orjuela-Cañón, AD & Flórez, OD 2018, Filter banks as proposal in electrical motors fault discrimination. in AD Orjuela-Cañón, JC Figueroa-García & JD Arias-Londoño (eds), Applications of Computational Intelligence - First IEEE Colombian Conference, ColCACI 2018, Medellín, Colombia, May 16–18, 2018, Revised Selected Papers. Communications in Computer and Information Science, vol. 833, Springer, pp. 50-62, 1st IEEE Colombian Conference on Applications in Computational Intelligence, ColCACI 2018, Medellin, Colombia, 5/16/18. https://doi.org/10.1007/978-3-030-03023-0_5

Filter banks as proposal in electrical motors fault discrimination. / Bulla, Jhonattan; Orjuela-Cañón, Alvaro David; Flórez, Oscar D.
Applications of Computational Intelligence - First IEEE Colombian Conference, ColCACI 2018, Medellín, Colombia, May 16–18, 2018, Revised Selected Papers. ed. / Alvaro David Orjuela-Cañón; Juan Carlos Figueroa-García; Julián David Arias-Londoño. Springer, 2018. p. 50-62 (Communications in Computer and Information Science; Vol. 833).

Research output: Chapter in Book/Inform › Chapter › Research

TY - CHAP

T1 - Filter banks as proposal in electrical motors fault discrimination

AU - Bulla, Jhonattan

AU - Orjuela-Cañón, Alvaro David

AU - Flórez, Oscar D.

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2018.

PY - 2018

Y1 - 2018

N2 - Studies related with the induction motor bearings fault detection have been used digital signal processing and pattern recognition techniques. However, performance of these approaches depends on the use of correct features. This paper deals an analysis of the use of filter banks with uniform and nonuniform frequency subbands to features extraction from vibration signals. Discrimination was developed by an artificial neural network with feedforward connections. Results identifies that the employment of filter banks improve the accuracy in 23% for six considered classes related with faults in bearings.

AB - Studies related with the induction motor bearings fault detection have been used digital signal processing and pattern recognition techniques. However, performance of these approaches depends on the use of correct features. This paper deals an analysis of the use of filter banks with uniform and nonuniform frequency subbands to features extraction from vibration signals. Discrimination was developed by an artificial neural network with feedforward connections. Results identifies that the employment of filter banks improve the accuracy in 23% for six considered classes related with faults in bearings.

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BT - Applications of Computational Intelligence - First IEEE Colombian Conference, ColCACI 2018, Medellín, Colombia, May 16–18, 2018, Revised Selected Papers

A2 - Orjuela-Cañón, Alvaro David

A2 - Figueroa-García, Juan Carlos

A2 - Arias-Londoño, Julián David

PB - Springer

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Y2 - 16 May 2018 through 18 May 2018

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Bulla J, Orjuela-Cañón AD, Flórez OD. Filter banks as proposal in electrical motors fault discrimination. In Orjuela-Cañón AD, Figueroa-García JC, Arias-Londoño JD, editors, Applications of Computational Intelligence - First IEEE Colombian Conference, ColCACI 2018, Medellín, Colombia, May 16–18, 2018, Revised Selected Papers. Springer. 2018. p. 50-62. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-03023-0_5

Filter banks as proposal in electrical motors fault discrimination

Abstract

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All Science Journal Classification (ASJC) codes

UN SDGs

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