Fault Identification in Three-Phase Induction Motors using Monitoring and Signal Processing Techniques

• Grant number: 24/06576-6
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: July 01, 2024
• End date: June 30, 2025
• Field of knowledge: Engineering - Electrical Engineering - Electrical, Magnetic and Electronic Circuits
• Principal Investigator: André Luiz Andreoli
• Grantee: Dennis Muniz de Souza
• Host Institution: Faculdade de Engenharia (FE). Universidade Estadual Paulista (UNESP). Campus de Bauru. Bauru , SP, Brazil

Abstract

Three-phase induction motors (TIMs) play a crucial role in various industries, being essential for industrial electrical drives and the overall industry operation. Given their operational importance, it is fundamental for these equipments to undergo proper maintenance planning. To meet this need, nondestructive techniques (NDT) for fault detection in electrical machines emerge as promising tools. These approaches enable early assessment, allowing for the detection of anomalies in the early stages, thus avoiding extensive damage to machines and interruptions in production lines. Among the NDT techniques, vibration analysis and acoustic emition stands out, correlating vibratory patterns of electrical machines with different types of known faults. This scientific initiation research project seeks to explore affordable sensor alternatives and new signal processing approaches to enhance fault diagnostics in TIMs. In particular, the use of non-invasive, low-cost piezoelectric sensors in conjunction with advanced signal processing techniques is proposed to conduct vibration analysis and identify faults in the stator windings of TIMs.