Rotor unbalance detection in electrical induction motors using orbital analysis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Deterioration in mechanical parts of a motor causes faults that generate vibrations. Those vibrations can be related with a different type of motor fault. In this work, we propose a new computational model for identifying rotor unbalance problems in electrical induction motors. Measured vibrations are preprocessed in order to create orbits which represent characteristic patterns. Those patterns are used in a recognition process using an artificial neural network. Experimental results using vibration signals extracted from real situations show a good performance and effectiveness of the proposed model, providing a new way for recognizing unbalance problems in induction motors. © 2014 Springer International Publishing.
Original languageAmerican English
Title of host publicationRotor unbalance detection in electrical induction motors using orbital analysis
Pages371-379
Number of pages333
ISBN (Electronic)9783319074900
DOIs
StatePublished - 1 Jan 2014
Externally publishedYes
EventLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -
Duration: 1 Jan 2014 → …

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8495 LNCS
ISSN (Print)0302-9743

Conference

ConferenceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Period1/01/14 → …

Fingerprint

Induction Motor
Induction motors
Rotor
Rotors
Vibration
Fault
Deterioration
Orbits
Vibration Signal
Neural networks
Computational Model
Artificial Neural Network
Orbit
Experimental Results
Model

Cite this

Carbajal-Hernández, J. J., Sánchez-Fernández, L. P., Suárez-Guerra, S., & Hernández-Bautista, I. (2014). Rotor unbalance detection in electrical induction motors using orbital analysis. In Rotor unbalance detection in electrical induction motors using orbital analysis (pp. 371-379). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8495 LNCS). https://doi.org/10.1007/978-3-319-07491-7_38
Carbajal-Hernández, José Juan ; Sánchez-Fernández, Luis P. ; Suárez-Guerra, Sergio ; Hernández-Bautista, Ignacio. / Rotor unbalance detection in electrical induction motors using orbital analysis. Rotor unbalance detection in electrical induction motors using orbital analysis. 2014. pp. 371-379 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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abstract = "Deterioration in mechanical parts of a motor causes faults that generate vibrations. Those vibrations can be related with a different type of motor fault. In this work, we propose a new computational model for identifying rotor unbalance problems in electrical induction motors. Measured vibrations are preprocessed in order to create orbits which represent characteristic patterns. Those patterns are used in a recognition process using an artificial neural network. Experimental results using vibration signals extracted from real situations show a good performance and effectiveness of the proposed model, providing a new way for recognizing unbalance problems in induction motors. {\circledC} 2014 Springer International Publishing.",
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Carbajal-Hernández, JJ, Sánchez-Fernández, LP, Suárez-Guerra, S & Hernández-Bautista, I 2014, Rotor unbalance detection in electrical induction motors using orbital analysis. in Rotor unbalance detection in electrical induction motors using orbital analysis. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8495 LNCS, pp. 371-379, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1/01/14. https://doi.org/10.1007/978-3-319-07491-7_38

Rotor unbalance detection in electrical induction motors using orbital analysis. / Carbajal-Hernández, José Juan; Sánchez-Fernández, Luis P.; Suárez-Guerra, Sergio; Hernández-Bautista, Ignacio.

Rotor unbalance detection in electrical induction motors using orbital analysis. 2014. p. 371-379 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8495 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - Deterioration in mechanical parts of a motor causes faults that generate vibrations. Those vibrations can be related with a different type of motor fault. In this work, we propose a new computational model for identifying rotor unbalance problems in electrical induction motors. Measured vibrations are preprocessed in order to create orbits which represent characteristic patterns. Those patterns are used in a recognition process using an artificial neural network. Experimental results using vibration signals extracted from real situations show a good performance and effectiveness of the proposed model, providing a new way for recognizing unbalance problems in induction motors. © 2014 Springer International Publishing.

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Carbajal-Hernández JJ, Sánchez-Fernández LP, Suárez-Guerra S, Hernández-Bautista I. Rotor unbalance detection in electrical induction motors using orbital analysis. In Rotor unbalance detection in electrical induction motors using orbital analysis. 2014. p. 371-379. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-07491-7_38