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Many characteristics were distilled based on the vibration signal from gear-box Accelerated Life Testing. After analyzing the stability and sensitiveness of these characteristics, the factors, such as Clearance Factor, Crest Factor, Shape Factor and Root Mean Square, were selected and used. Then a residual useful life prediction model of gear-box based on stochastic filtering was established, which...
A systematic method is proposed to address modeling challenges in accurate chip level leakage prediction, namely a precise total leakage width count method, a simple model to quantify leakage uplift caused by systematic across-chip variation, and a consistent model to capture 3-sigma leakage and leakage spread at fixed performance.
New effective drive current IEFF+ methodologies are demonstrated in this paper to address predictability of circuit performance across wide Vt range and accuracy of effective resistance REFF prediction-to-hardware correlation. Two separate IEFF definitions are adopted for delay performance prediction (IEFF = [IH + IL]/2), and ring AC/DC prediction-tohardware correlation analysis (IEFF+ = [1.15IH...
This paper proposes a novel nonparametric approach for the modeling and analysis of electricity price curves by applying the manifold learning methodology-locally linear embedding (LLE). The prediction method based on manifold learning and reconstruction is employed to make short-term and medium-term price forecasts. Our method not only performs accurately in forecasting one-day-ahead prices, but...
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