Work

Novel Investigation of Influence of Torsional Load on Unbalance Fault Indicators for Induction Motors

Year: 2025

Type: article

Abstract: This paper investigates how the torsional load affects two vibration-based unbalance fault indicators. This investigation is important for unbalance fault diagnosis in multiple constant load conditions, which are unavoidable for many rotating machines. Coupled flexural-torsional dynamics of an unbalanced disc-shaft system, as the representative of an induction motor, is investigated via a continuous shaft-beam model. Numerical investigations reveal that the fundamental rotating intensity of the transversal acceleration is independent of the torsional load. So, the novel speed-invariant version of this indicator, which is obtained by normalizing the fundamental rotating intensity by the fourth power of the rotational speed, is also load-independent. The comprehensive experimental trials confirm load-independency of the considered two unbalance fault indicators. The important novel outcome is that, by conducting numerical analysis and comprehensive experimental trials with a belt conveyor system under various constant loading conditions, the load-independency of the fundamental rotating harmonic intensity as well as novel speed-invariant unbalance feature are justified.

Source: Sensors

DOI: 10.3390/s25072084

Authors: Amir R. Askari, Len Gelman, Andrew D. Ball

Institutions: University of Huddersfield, Hakim Sabzevari University

Language: English

Topic: Machine Fault Diagnosis Techniques

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $3,137