EMBEDDED SYSTEMS FOR DETECTION OF FAULTS IN INDUCTION MOTORS
Carlos Alberto Nóbrega Sobrinho1; Abel Cavalcante Lima Filho1; Alexander Patrick Chaves de Sena2; Marcéu Oliveira Adissi3; Ruan Delgado Gomes4; Jobson Francisco da Silva5; Tassio Alessandro Borges da Silva1; Ícaro Meireles Mafaldo1; Gabriela Jordão Lyra1
1 UFPB; 2 IFPE - Campus Caruaru; 3 IFPB - Campus Cajazeiras; 4 IFPB - Campus Guarabira; 5 IFPB - Campus João Pessoa
doi:10.20906/CPS/COB-2015-0041
Resumo
Electric motors account for 95% of primary source movement of industrialized nations. 90% of these are three-phase induction motors (TIM), virtually present in all industries,triggering mechanisms that can present unbalance, misalignment, among others. Due to its importance in the productive sector, it is important that they are properly monitored in order to avoid interruptions in production and operational disasters. This work aims to study and develop an embedded system to diagnose broken bar fault and dynamic eccentricity in the induction motor making through current signature analysis (MCSA). The embedded system must be able to perform real-time monitoring of the TIM, allowing decisions to be made before the full equipment breakdown. The installation of the system in the motor should be completely non-invasive and can be performed while the motor is running. In addition, the embedded system performance studies will be performed to verify the processing latency and study the feasibility of integrate the embedded system on a wireless sensor network for fault diagnosis.
Palavras-chave: Fault analysis; sistema embarcado; current signature analysis