Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Abdelelah Almounajjed"'
Publikováno v:
Chinese Journal of Electrical Engineering. 9:142-157
Publikováno v:
Transactions of the Institute of Measurement and Control. 45:261-273
This work proposes a novel online detection scheme to diagnose incipient inter-turn short circuit fault and estimate the failure severity in induction motor. Incipient detection of the stator failure during the machine running, as well as identificat
Publikováno v:
International Journal of Ambient Energy. 43:6341-6361
Publikováno v:
2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS).
Fault's diagnosis prior to its existence and the entire shut-down is critically important for the industry. Diagnosing the faults based on condition monitoring methods and artificial intelligence techniques is extremely potent. Detecting the bearing
Publikováno v:
2021 7th International Conference on Electrical Energy Systems (ICEES).
Continuous work of Induction Motor (IM) is an exigency for the recent industries which without a doubt influences the reliability and stability of the production process. Detecting the faults at an early stage can reduce the loss in time and expenses
Publikováno v:
Measurement. 182:109780
This research puts forward a novel approach by proposing mathematical equations to estimate the fault intensity index in induction motor with stator inter-turn short circuit (ITSC) fault. Determination of the failure index is significant to create ap