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

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

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...

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Bibliographic Details
Main Authors: Adam Glowacz, Maciej Sulowicz, Jarosław Kozik, Krzysztof Piech, Witold Glowacz, Zhixiong Li, Frantisek Brumercik, Miroslav Gutten, Daniel Korenciak, Anil Kumar, Guilherme Beraldi Lucas, Muhammad Irfan, Wahyu Caesarendra, Hui Lui
Format: Article
Language:English
Published: Polish Academy of Sciences 2024-01-01
Series:Bulletin of the Polish Academy of Sciences: Technical Sciences
Subjects:
acoustic signal
induction motor
fault
neural network
Online Access:https://journals.pan.pl/Content/129999/PDF/BPASTS_2024_72_1_3957.pdf

Internet

https://journals.pan.pl/Content/129999/PDF/BPASTS_2024_72_1_3957.pdf

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