Editorial guest editorial introduction to the focused section on real-time monitoring, diagnosis, and prognosis and health management for electric vehicles
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Universidade Federal de Minas Gerais
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Nowadays, industrial automation systems are becoming more complex and expensive, and having less tolerance for performance degradation, productivity decrease, and reliability and safety threats, which greatly necessitates to detect and identify any kinds of abnormalities as early as possible, predict the remaining useful life of a component or system, implement real-time resilient operation and health management to minimize performance degradation, improve reliability and safety, and reduce operation and maintenance costs during the life cycles in automation systems.
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Prognóstico baseado em Dados, Special issues and sections , Lithium-ion batteries , Temperature measurement , Electric vehicles , State of charge , Real-time systems , Prognostics and health management , Estimation , Safety , Reliability, Diagnóstico de Falhas, Health Management , Electric Vehicles , Real-time Management , Real-time Diagnosis , Health Status , Actuator , Power System , State Of Charge , Expectation Maximization , Fault-tolerant , Power Network , Operational Performance , Monitoring Techniques , Fault Diagnosis , Safety-critical , Extended Kalman Filter , Internal Defects , Fault-tolerant Control , Electric Vehicles Battery , Battery Degradation , Battery Temperature, Indústria 4.0, Inteligência Artificial
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https://ieeexplore.ieee.org/document/10026628