Intelligent System for the Detection and Diagnosis of Degradation in Hydrogenerators: application of Artificial Intelligence techniques combined with Reliability techniques

• Grant number: 24/05351-0
• Support Opportunities: Regular Research Grants
• Start date: September 01, 2024
• End date: August 31, 2026
• Field of knowledge: Engineering - Mechanical Engineering - Mechanical Engineering Design
• Principal Investigator: Gilberto Francisco Martha de Souza
• Grantee: Gilberto Francisco Martha de Souza
• Host Institution: Escola Politécnica (EP). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Associated researchers: Renan Favarão da Silva

Abstract

The requirement for efficiency in the maintenance of engineering systems with a view to maximizing their operational availability can be achieved with the use of intelligent abnormality detection and diagnosis systems that use data from the monitoring system to evaluate the occurrence of a process. degradation of its operational condition. Such systems are based on the use of Artificial Intelligence techniques and aim to provide support for planning the maintenance of engineering systems. However, the development of these detection and diagnosis systems for more complex engineering systems, such as electrical power generation plants, still requires further studies, considering the diversity of failure modes and operational conditions that these plants may present. This research project aims to develop an intelligent system for detecting and diagnosing abnormalities in hydrogenerators, which should be based on artificial intelligence techniques associated with reliability techniques, aiming to obtain greater assertiveness in the process. The system developed in the research will be applied to the analysis of a hydroelectric plant installed in the northern region of the country. (AU)