Torsional Vibration Diagnosis of Induction Machines Based on High-Frequency Electromagnetic Vibration

Pumps used for irrigation and drainage are usually connected with induction machines (IMs), which are widely employed in industry and daily life. Relatively severe working conditions force pumps to meet the requirement of high-level reliability. Aiming at the general problem of torsional vibration on shafts, a diagnosing method based on radial electromagnetic vibration is studied, which distinguishes torsional vibration from lateral vibration by characteristic frequencies. The lumped-mass model is utilized to analyze the torsional angle of the rotor. The air-gap magnetic field of the IM is analyzed to obtain the characteristic components induced by torsional vibration. High-frequency harmonics, which are ignored in previous studies, are considered in the analysis of electromagnetic forces to eliminate the influence of mechanical vibration on torsional vibration diagnosis. Characteristic frequencies of radial electromagnetic vibration are analyzed under healthy, torsional vibration, and lateral vibration conditions. Finally, the proposed method is validated by finite element analysis and experiments.

Authors

Institutions

Publication Details

Journal
International Journal of Applied Electromagnetics and Mechanics
Published
2024-12-01
DOI
https://doi.org/10.1177/13835416241297462
Primary Topic
Engineering Diagnostics and Reliability
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Torsional Vibration Diagnosis of Induction Machines Based on High-Frequency Electromagnetic Vibration

Shihao Li, Qinglong Zhu, Luyao Wang, Bokai Guan et al.
International Journal of Applied Electromagnetics and Mechanics
Engineering Diagnostics and Reliability
article

Torsional Vibration Diagnosis of Induction Machines Based on High-Frequency Electromagnetic Vibration

Shihao Li, Qinglong Zhu, Luyao Wang, Bokai Guan, Xiaohua Bao
article en

Abstract

Pumps used for irrigation and drainage are usually connected with induction machines (IMs), which are widely employed in industry and daily life. Relatively severe working conditions force pumps to meet the requirement of high-level reliability. Aiming at the general problem of torsional vibration on shafts, a diagnosing method based on radial electromagnetic vibration is studied, which distinguishes torsional vibration from lateral vibration by characteristic frequencies. The lumped-mass model is utilized to analyze the torsional angle of the rotor. The air-gap magnetic field of the IM is analyzed to obtain the characteristic components induced by torsional vibration. High-frequency harmonics, which are ignored in previous studies, are considered in the analysis of electromagnetic forces to eliminate the influence of mechanical vibration on torsional vibration diagnosis. Characteristic frequencies of radial electromagnetic vibration are analyzed under healthy, torsional vibration, and lateral vibration conditions. Finally, the proposed method is validated by finite element analysis and experiments.

International Journal of Applied Electromagnetics and MechanicsVol. 76(4)
Hefei University of Technology (CN)
National Natural Science Foundation of China, Major Science and Technology Projects in Anhui Province
Openalex Percentile: Top 70%
Engineering Diagnostics and Reliability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Torsional Vibration Diagnosis of Induction Machines Based on High-Frequency Electromagnetic Vibration — Shihao Li, Qinglong Zhu, et al. · International Journal of Applied Electromagnetics and Mechanics (2024) | TGRS Research Map | TGRS