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The electric power panel is widely used in aircraft engineering. Extracting the degradation feature of power panel is very important for degradation modeling and RUL estimation. This paper employed an Ensemble Empirical Mode Decomposition (EEMD) based method to extract the degradation statistics feature of power panel. First, the degradation data is decomposed into independent Intrinsic Mode Functions...
Traditional machine learning algorithms assume that data are exact or precise. However, this assumption may not hold in some situations because of data uncertainty arising from measurement errors, data staleness, and repeated measurements, etc. With uncertainty, the value of each data item is represented by a probability distribution function (pdf). In this paper, we propose a novel naive Bayes classification...
This paper presents a novel depth recovery technique of bifocus imaging system which may produce two focus images by independent focal lengths. Depth information can be extracted from the disparity between two focus images. This paper will propose the depth recovery formula and related algorithms such as feature extraction, sub-pixel matching, and center estimation. Experiments on real scene images...
This paper focuses on the design and evaluation of an explicit moving horizon controller and an explicit moving horizon estimator for a batch polymerization process. It is of particular interest since there are currently no reported case studies or implementations of the explicit parametric controller/estimator for batch and polymerization processes. In this paper we aim at achieving tight offset-free...
This paper proposes a low complexity peak-to-average power ratio estimation scheme for OFDM systems. The new scheme introduces a non-equal-distance estimation based on triangle interpolation, which approximates higher oversampling samples by lower oversampling samples. Simulation shows the new scheme can achieve a good approximating to signal distribution of the real over-sampled OFDM signal. Furthermore,...
Software debugging is time-consuming and effort-consuming. Although software debugging, especially fault-localization, has been studied for long, few practical debugging tools have been developed and used by the industry. In this paper we present VIDA, a visual interactive debugging tool, which has been integrated with the Eclipse Integrated Development Environment to support a programmer's debugging...
Meshless methods popularized in recent years are attractive choices for solving discontinuous and large deformation problems. As one of the most popular methods to form trial function, moving least squares (MLS) can accurately fulfill input signal reconstruction of nonlinear multiple-input multiple-output sensor. However, the parameter matrix obtained from MLS approximation sometimes is ill-conditioned...
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