Diagnosis and detection of short-circuit in a three-phase induction machine

Y. Soufi, T. Bahi, Mohamed-Faouzi Harkat, H. Merabet

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

3 Citations (Scopus)

Abstract

Due to its simple construction, low cost, manufacture, and its robustness. The use of induction motors is rapidly and increasingly growing in the industry especially in highly important sectors. This leads us to a serious focus on their operation and their availability. The early detection for motor deterioration can increase plant availability and safety in economical way, help to avoid expensive failures, reduce coasts and the fault number. Many publications have investigated the detection and diagnosis of short circuit fault in electrical machines supplied directly online. This paper presents a technique based on spectral analysis of stator currents to detect short-circuit fault in the stator using a mathematical model of three-phase squirrel cage induction motor under stator short-circuit fault. The simulation show the impact and the effectiveness of failure.The tests are validated by numerical simulation and the obtained results clearly show the possibility of extarcting signatures to detect and locate faults

Original languageEnglish
Title of host publication2009 International Conference on Computer and Electrical Engineering, ICCEE 2009
Pages347-351
Number of pages5
Volume2
DOIs
Publication statusPublished - 1 Dec 2009
Externally publishedYes
Event2009 International Conference on Computer and Electrical Engineering, ICCEE 2009 - Dubai, United Arab Emirates
Duration: 28 Dec 200930 Dec 2009

Other

Other2009 International Conference on Computer and Electrical Engineering, ICCEE 2009
CountryUnited Arab Emirates
CityDubai
Period28/12/0930/12/09

Fingerprint

Short circuit currents
Stators
Induction motors
Availability
Squirrel cage motors
Spectrum analysis
Coastal zones
Deterioration
Mathematical models
Computer simulation
Costs
Industry

Keywords

  • Detection
  • Diagnosis
  • Induction machine
  • Modeling
  • Short-circuit
  • Simulation

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering

Cite this

Soufi, Y., Bahi, T., Harkat, M-F., & Merabet, H. (2009). Diagnosis and detection of short-circuit in a three-phase induction machine. In 2009 International Conference on Computer and Electrical Engineering, ICCEE 2009 (Vol. 2, pp. 347-351). [5380391] https://doi.org/10.1109/ICCEE.2009.113

Diagnosis and detection of short-circuit in a three-phase induction machine. / Soufi, Y.; Bahi, T.; Harkat, Mohamed-Faouzi; Merabet, H.

2009 International Conference on Computer and Electrical Engineering, ICCEE 2009. Vol. 2 2009. p. 347-351 5380391.

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

Soufi, Y, Bahi, T, Harkat, M-F & Merabet, H 2009, Diagnosis and detection of short-circuit in a three-phase induction machine. in 2009 International Conference on Computer and Electrical Engineering, ICCEE 2009. vol. 2, 5380391, pp. 347-351, 2009 International Conference on Computer and Electrical Engineering, ICCEE 2009, Dubai, United Arab Emirates, 28/12/09. https://doi.org/10.1109/ICCEE.2009.113
Soufi Y, Bahi T, Harkat M-F, Merabet H. Diagnosis and detection of short-circuit in a three-phase induction machine. In 2009 International Conference on Computer and Electrical Engineering, ICCEE 2009. Vol. 2. 2009. p. 347-351. 5380391 https://doi.org/10.1109/ICCEE.2009.113
Soufi, Y. ; Bahi, T. ; Harkat, Mohamed-Faouzi ; Merabet, H. / Diagnosis and detection of short-circuit in a three-phase induction machine. 2009 International Conference on Computer and Electrical Engineering, ICCEE 2009. Vol. 2 2009. pp. 347-351
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