6533b823fe1ef96bd127e3c8
RESEARCH PRODUCT
Methods of Condition Monitoring and Fault Detection for Electrical Machines
Ants KallasteKarolina KudelinaAnton RassolkinBilal AsadToomas VaimannVan Khang Huynhsubject
TechnologyControl and OptimizationComputer scienceHuman lifeReliability (computer networking)condition monitoringfailure detectionEnergy Engineering and Power TechnologyFault (power engineering)Fuzzy logicPredictive maintenanceFault detection and isolationVDP::Teknologi: 500::Elektrotekniske fag: 540Electrical and Electronic EngineeringEngineering (miscellaneous)Artificial neural networkRenewable Energy Sustainability and the EnvironmentTCondition monitoringfault diagnosisartificial intelligenceReliability engineeringVDP::Teknologi: 500machine learningfuzzy logicEnergy (miscellaneous)description
Nowadays, electrical machines and drive systems are playing an essential role in different applications. Eventually, various failures occur in long-term continuous operation. Due to the increased influence of such devices on industry, industrial branches, as well as ordinary human life, condition monitoring and timely fault diagnostics have gained a reasonable importance. In this review article, there are studied different diagnostic techniques that can be used for algorithms’ training and realization of predictive maintenance. Benefits and drawbacks of intelligent diagnostic techniques are highlighted. The most widespread faults of electrical machines are discussed as well as techniques for parameters’ monitoring are introduced.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2021-11-01 | Energies |