Robust Remaining Useful Life Estimation Based on an Improved Unscented Kalman Filtering Method | Zendy

Shenkun Zhao | Zendy; Chao Jiang | Zendy; Zhe Zhang | Zendy; Xiangyun Long | Zendy

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Robust Remaining Useful Life Estimation Based on an Improved Unscented Kalman Filtering Method

Author(s) -

Shenkun Zhao,

Chao Jiang,

Zhe Zhang,

Xiangyun Long

Publication year - 2020

Publication title -

computer modeling in engineering and sciences

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.341

H-Index - 60

eISSN - 1526-1506

pISSN - 1526-1492

DOI - 10.32604/cmes.2020.08867

Subject(s) - kalman filter , prognostics , randomness , control theory (sociology) , unscented transform , reliability (semiconductor) , computer science , estimation , nonlinear system , noise (video) , degradation (telecommunications) , extended kalman filter , engineering , moving horizon estimation , mathematics , artificial intelligence , statistics , data mining , control (management) , systems engineering , telecommunications , power (physics) , physics , quantum mechanics , image (mathematics)

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