Review of Modern Methods of Fault Diagnosis in Agricultural Induction Motor

This paper analyses the methods of fault diagnosis of induction motor in agriculture. The analysis covers modern technologies for measuring electrical parameters and fault detection, including stator winding insulation diagnostics. Particular attention is paid to the comparison of existing diagnostic methods in order to identify the most effective approaches adapted for use in agricultural motors where conventional methods may be ineffective. Internal and external factors of IM failures are considered, as well as opportunities to improve equipment reliability, reduce downtime and optimise production processes in agriculture. The conclusion emphasises the need for further research and development of new diagnostic methods that will contribute to improving the economic efficiency, reliability and environmental sustainability of agricultural equipment, which, in turn, will improve production processes and quality of life in rural areas.

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Publication Details

Published
2024-10-23
DOI
https://doi.org/10.1109/lindi63813.2024.10820418
Primary Topic
Machine Fault Diagnosis Techniques
Type
article
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article

Review of Modern Methods of Fault Diagnosis in Agricultural Induction Motor

А. D. Аlkina, А. Д. Умурзакова, P Sh Madi, Almagul M. Sarmanova et al.
Machine Fault Diagnosis Techniques
article

Review of Modern Methods of Fault Diagnosis in Agricultural Induction Motor

А. D. Аlkina, А. Д. Умурзакова, P Sh Madi, Almagul M. Sarmanova, Bagdad E. Mukhamadiev, Iskander K. Kurabaev
article en

Abstract

This paper analyses the methods of fault diagnosis of induction motor in agriculture. The analysis covers modern technologies for measuring electrical parameters and fault detection, including stator winding insulation diagnostics. Particular attention is paid to the comparison of existing diagnostic methods in order to identify the most effective approaches adapted for use in agricultural motors where conventional methods may be ineffective. Internal and external factors of IM failures are considered, as well as opportunities to improve equipment reliability, reduce downtime and optimise production processes in agriculture. The conclusion emphasises the need for further research and development of new diagnostic methods that will contribute to improving the economic efficiency, reliability and environmental sustainability of agricultural equipment, which, in turn, will improve production processes and quality of life in rural areas.

S.Seifullin Kazakh Agro Technical University (KZ), Abylkas Saginov Karaganda Technical University (KZ)
Zero hunger
Openalex Percentile: Top 70%
Machine Fault Diagnosis Techniques
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