Fault Diagnosis of Broken Rotor Bar in AC Induction Motor based on A Qualitative Simulation Approach

Aisha Alashter, Fengshou Gu, Andrew D. Ball, Yunpeng Cao

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

Abstract

Qualitative Simulation (QS) is a common reasoning technique that represents the system performance based on qualitative reasoning. Reasoning is made to determine qualitative values with changing directions of the system variables. The QS approaches can be implemented with minimal knowledge of system parameters and even when the system model is incomplete, which are common scenarios for most machine users. Bond graph modelling simulates the dynamic systems based on cause and effect reasoning with the help of energy flow. Therefore this paper plans to use bond graph modelling for the purpose of fault detection based on the energy flow without the need for the specific information of machine's parameters. The bond graph based QS was examined on an AC induction motor (ACIM) which had confirmed the high efficiency of QS based approach in achieving diagnostic results for broken rotor bar. The QS approach uses the temporal causal graph (TCG) and qualitative equations of the system. The applied qualitative analysis predicts the effects of parameter changes (increased-decreased) on the whole system behavior. The results indicate that the proposed QS technique is an effective method for extracting diagnostic information, leading to an accurate diagnosis by combining TCG and qualitative equations with qualitative reasoning.

Original languageEnglish
Title of host publication2019 25th International Conference on Automation and Computing (ICAC)
EditorsHui Yu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781861376657
ISBN (Print)9781728125183
DOIs
Publication statusPublished - 11 Nov 2019
Event25th IEEE International Conference on Automation and Computing: Improving Productivity through Automation and Computing - Lancaster University, Lancaster, United Kingdom
Duration: 5 Sep 20197 Sep 2019
Conference number: 25
http://www.research.lancs.ac.uk/portal/en/activities/25th-ieee-international-conference-on-automation-and-computing-icac19-57-september-2019-lancaster-university-uk(679d94ff-4efb-46b5-9c80-c6d34a13bae4).html

Conference

Conference25th IEEE International Conference on Automation and Computing
Abbreviated titleICAC 2019
CountryUnited Kingdom
CityLancaster
Period5/09/197/09/19
Internet address

Fingerprint

Qualitative Simulation
Rotors (windings)
AC motors
Induction Motor
Fault Diagnosis
Fault detection
Induction motors
Rotor
Failure analysis
Dynamical systems
Rotors
Bond Graph
Qualitative Reasoning
Reasoning
Diagnostics
Fault Detection
Qualitative Analysis
Graph in graph theory
Energy
Modeling

Cite this

Alashter, A., Gu, F., Ball, A. D., & Cao, Y. (2019). Fault Diagnosis of Broken Rotor Bar in AC Induction Motor based on A Qualitative Simulation Approach. In H. Yu (Ed.), 2019 25th International Conference on Automation and Computing (ICAC) (pp. 1-6). [8895071] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/IConAC.2019.8895071
Alashter, Aisha ; Gu, Fengshou ; Ball, Andrew D. ; Cao, Yunpeng. / Fault Diagnosis of Broken Rotor Bar in AC Induction Motor based on A Qualitative Simulation Approach. 2019 25th International Conference on Automation and Computing (ICAC). editor / Hui Yu. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 1-6
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title = "Fault Diagnosis of Broken Rotor Bar in AC Induction Motor based on A Qualitative Simulation Approach",
abstract = "Qualitative Simulation (QS) is a common reasoning technique that represents the system performance based on qualitative reasoning. Reasoning is made to determine qualitative values with changing directions of the system variables. The QS approaches can be implemented with minimal knowledge of system parameters and even when the system model is incomplete, which are common scenarios for most machine users. Bond graph modelling simulates the dynamic systems based on cause and effect reasoning with the help of energy flow. Therefore this paper plans to use bond graph modelling for the purpose of fault detection based on the energy flow without the need for the specific information of machine's parameters. The bond graph based QS was examined on an AC induction motor (ACIM) which had confirmed the high efficiency of QS based approach in achieving diagnostic results for broken rotor bar. The QS approach uses the temporal causal graph (TCG) and qualitative equations of the system. The applied qualitative analysis predicts the effects of parameter changes (increased-decreased) on the whole system behavior. The results indicate that the proposed QS technique is an effective method for extracting diagnostic information, leading to an accurate diagnosis by combining TCG and qualitative equations with qualitative reasoning.",
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Alashter, A, Gu, F, Ball, AD & Cao, Y 2019, Fault Diagnosis of Broken Rotor Bar in AC Induction Motor based on A Qualitative Simulation Approach. in H Yu (ed.), 2019 25th International Conference on Automation and Computing (ICAC)., 8895071, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 25th IEEE International Conference on Automation and Computing, Lancaster, United Kingdom, 5/09/19. https://doi.org/10.23919/IConAC.2019.8895071

Fault Diagnosis of Broken Rotor Bar in AC Induction Motor based on A Qualitative Simulation Approach. / Alashter, Aisha; Gu, Fengshou; Ball, Andrew D.; Cao, Yunpeng.

2019 25th International Conference on Automation and Computing (ICAC). ed. / Hui Yu. Institute of Electrical and Electronics Engineers Inc., 2019. p. 1-6 8895071.

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

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AB - Qualitative Simulation (QS) is a common reasoning technique that represents the system performance based on qualitative reasoning. Reasoning is made to determine qualitative values with changing directions of the system variables. The QS approaches can be implemented with minimal knowledge of system parameters and even when the system model is incomplete, which are common scenarios for most machine users. Bond graph modelling simulates the dynamic systems based on cause and effect reasoning with the help of energy flow. Therefore this paper plans to use bond graph modelling for the purpose of fault detection based on the energy flow without the need for the specific information of machine's parameters. The bond graph based QS was examined on an AC induction motor (ACIM) which had confirmed the high efficiency of QS based approach in achieving diagnostic results for broken rotor bar. The QS approach uses the temporal causal graph (TCG) and qualitative equations of the system. The applied qualitative analysis predicts the effects of parameter changes (increased-decreased) on the whole system behavior. The results indicate that the proposed QS technique is an effective method for extracting diagnostic information, leading to an accurate diagnosis by combining TCG and qualitative equations with qualitative reasoning.

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Alashter A, Gu F, Ball AD, Cao Y. Fault Diagnosis of Broken Rotor Bar in AC Induction Motor based on A Qualitative Simulation Approach. In Yu H, editor, 2019 25th International Conference on Automation and Computing (ICAC). Institute of Electrical and Electronics Engineers Inc. 2019. p. 1-6. 8895071 https://doi.org/10.23919/IConAC.2019.8895071