Open AccessRobust 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)