articleTop 1% cited
A Wiener-process-based degradation model with a recursive filter algorithm for remaining useful life estimation
Mechanical Systems and Signal Processing · 2012 · Vol. 35(1-2) · pp. 219–237
Xiaosheng Si(Xi'an High Tech University)Wenbin Wang✉(University of Science and Technology Beijing)Chang-Hua Hu(Xi'an High Tech University)Maoyin Chen(Tsinghua University)Dong-Hua Zhou✉(Tsinghua University)
Reliability and Maintenance OptimizationStatistical Distribution Estimation and ApplicationsMachine Fault Diagnosis TechniquesWiener processPrognosticsWiener filterProcess (computing)Expectation–maximization algorithmFilter (signal processing)Degradation (telecommunications)Computer scienceAlgorithmMathematical optimization
Citations
450
FWCI
51.74
field-weighted impact
References
57
Percentile
100%
vs. same field & year
Citations per year
Cited by
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
Mechanical Systems and Signal Processing · 2017 · 2,298 citations
References
A review on machinery diagnostics and prognostics implementing condition-based maintenance
Mechanical Systems and Signal Processing · 2005 · 4,389 citations
Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm
Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1977 · 49,286 citations
On the Convergence Properties of the EM Algorithm
The Annals of Statistics · 1983 · 3,269 citations
Remaining useful life estimation – A review on the statistical data driven approaches
European Journal of Operational Research · 2010 · 1,989 citations
Maximum likelihood estimates of linear dynamic systems
AIAA Journal · 1965 · 1,913 citations
Introduction to Statistical Quality Control
Technometrics · 1992 · 7,904 citations
Forecasting, Structural Time Series Models and the Kalman Filter
Journal of the Operational Research Society · 1991 · 4,813 citations
<i>The Theory of Stochastic Processes</i>
Physics Today · 1966 · 3,363 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.