Work

Diagnosis of low insulation fault in the starting transient of squirrel cage rotor induction motors using wavelet analysis

Year: 2024

Type: article

Abstract: The objective of this work was to diagnose faults in squirrel-cage induction motors during the startup transient, by analyzing the stator current signal. To achieve this, low- and medium-voltage motors were modeled in Simulink using MATLAB. Previously, the fault due to low insulation was diagnosed through a static test. It was demonstrated that, during the startup transient, the low insulation fault manifests through a Daubechies wavelet analysis at level 8 of the current signal. The fault was identified in the detail levels 1, 2, 5, 6, 7, and 8, for both low-voltage and medium-voltage motors.

Source: Athenea

DOI: 10.47460/athenea.v5i18.82

Authors: Alfredo Alejandro Marot Guevara, Sergio Velasquez

Institutions: Universidad de Oriente, Universidad Nacional Experimental Politécnica Antonio José de Sucre

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: diamond

OpenAlex ID: W4408766105

FWCI:

Cites: 16

Cited by:

Related to: 10