Fault diagnosis of electrical faults of three-phasei nduction motors using acoustic analysis

• Autorzy: Glowacz Adam , Sulowicz Maciej , Kozik Jarosław , Piech Krzysztof , Glowacz Witold , Li Zhixiong , Brumercik Frantisek , Gutten Miroslav , Korenciak Daniel , Kumar Anil , Lucas Guilherme Beraldi , Irfan Muhammad , Caesarendra Wahyu , Lui Hui

Identyfikatory

DOI

10.24425/bpasts.2024.148440

• Języki publikacji: EN

Abstrakty

EN

Fault diagnosis techniques of electrical motors can prevent unplanned downtime and loss of money, production, and health. Various parts of the induction motor can be diagnosed: rotor, stator, rolling bearings, fan, insulation damage, and shaft. Acoustic analysis is non-invasive. Acoustic sensors are low-cost. Changes in the acoustic signal are often observed for faults in induction motors. In this paper, the authors present a fault diagnosis technique for three-phase induction motors (TPIM) using acoustic analysis. The authors analyzed acoustic signals for three conditions of the TPIM: healthy TPIM, TPIM with two broken bars, and TPIM with a faulty ring of the squirrel cage. Acoustic analysis was performed using fast Fourier transform (FFT), a new feature extraction method called MoD-7 (maxima of differences between the conditions), and deep neural networks: GoogLeNet, and ResNet-50. The results of the analysis of acoustic signals were equal to 100% for the three analyzed conditions. The proposed technique is excellent for acoustic signals. The described technique can be used for electric motor fault diagnosis applications.

Słowa kluczowe

EN

acoustic signal; induction motor; fault; neural network

PL

sygnał akustyczny; silnik indukcyjny; wada; sieć neuronowa

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2024
• Tom: Vol. 72, nr 1
• Strony: art. no. e148440
• Opis fizyczny: Bibliogr. 33 poz., rys., tab.

Twórcy

autor

Glowacz Adam

• Cracow University of Technology, Faculty of Electrical and Computer Engineering, Department of Electrical Engineering, ul. Warszawska 24,31-155 Kraków, Poland

• https://orcid.org/0000-0003-0546-7083

autor

Sulowicz Maciej

• Cracow University of Technology, Faculty of Electrical and Computer Engineering, Department of Electrical Engineering, ul. Warszawska 24,31-155 Kraków, Poland

• https://orcid.org/0000-0001-6436-1110

autor

Kozik Jarosław

• AGH University of Krakow, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, Department of PowerElectronics and Energy Control Systems, al. A. Mickiewicza 30, 30-059 Kraków, Poland

• https://orcid.org/0000-0003-2175-0735

autor

Piech Krzysztof

• AGH University of Krakow, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, Department of PowerElectronics and Energy Control Systems, al. A. Mickiewicza 30, 30-059 Kraków, Poland

• https://orcid.org/0000-0001-5503-8397

autor

Glowacz Witold

• AGH University of Krakow, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, Department of AutomaticControl and Robotics, al. A. Mickiewicza 30, 30-059 Krakw, Poland

• https://orcid.org/0000-0002-8734-3844

autor

Li Zhixiong

• Faculty of Mechanical Engineering, Opole University of Technology, Opole 45-758, Poland University of Religions and Denomina, Qom, Iran

• https://orcid.org/0000-0002-7265-0008

autor

Brumercik Frantisek

• University of Zilina, Faculty of Mechanical Engineering, Department of Design and Machine Elements, Univerzitna 1, 010 26 Zilina, Slovakia

• https://orcid.org/0000-0001-7475-3724

autor

Gutten Miroslav

• University of Zilina, Faculty of Electrical Engineering and Information Technology, 8215/1 Univerzitna, 01026 Zilina, Slovakia

• https://orcid.org/0000-0002-3715-1457

autor

Korenciak Daniel

• University of Zilina, Faculty of Electrical Engineering and Information Technology, 8215/1 Univerzitna, 01026 Zilina, Slovakia

autor

Kumar Anil

• Wenzhou University, College of Mechanical and Electrical Engineering, Wenzhou, 325 035, China

• https://orcid.org/0000-0002-8436-4906

autor

Lucas Guilherme Beraldi

• Sao Paulo State University, Department of Electrical Engineering, Av. Eng. Luís Edmundo Carrijo Coube, 14-01, Bauru, Sao Paulo, Brazil

• https://orcid.org/0000-0002-7674-8969

autor

Irfan Muhammad

• Najran University Saudi Arabia, Electrical Engineering Department, College of Engineering, Najran 61441, Saudi Arabia

• https://orcid.org/0000-0003-4161-6875

autor

Caesarendra Wahyu

• Faculty of Mechanical Engineering, Opole University of Technology, Opole 45-758, Poland
• Faculty of Integrated Technologies, Universiti Brunei Darusalam, Jalan Tungku Link, Gadong BE1410, Brunei

• https://orcid.org/0000-0002-9784-4204

autor

Lui Hui

• China Jiliang University, College of Quality and Safety Engineering, Hangzhou 310018, China

• https://orcid.org/0000-0002-4265-7241

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).