Adaptive Cuckoo Search-Extreme Learning Machine Based Prognosis for Electric Scooter System under Intermittent Fault

Adaptive Cuckoo Search-Extreme Learning Machine Based Prognosis for Electric Scooter System under Intermittent Fault

In this paper, an adaptive Cuckoo search extreme learning machine (ACS-ELM)-based prognosis method is developed for an electric scooter system with intermittent faults. Firstly, bond-graph-based fault detection and isolation is carried out to find possible faulty components in the electric scooter s...

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Detalles Bibliográficos
Autores principales: Ming Yu, Chenyu Xiao, Hai Wang, Wuhua Jiang, Rensheng Zhu
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
intermittent fault
distributed fault estimation
adaptive Cuckoo search-extreme learning machine
remaining useful life prediction
Materials of engineering and construction. Mechanics of materials
TA401-492
Production of electric energy or power. Powerplants. Central stations
TK1001-1841
Acceso en línea:https://doaj.org/article/74a315d4b011495489ce1ac4b9302205
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https://doaj.org/article/74a315d4b011495489ce1ac4b9302205

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