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This paper builds improved Stochastic Filtering Model (SFM) for Condition Based Maintenance (CBM) using covariates obtained from Dynamic Principal Component Analysis (DPCA) of oil data. DPCA covariates, derived from DPCA of the oil data, represent most of the variability in the original data with reduced dimension and little cross-correlation. This makes DPCA covariates ideal for maintenance modeling...
There is growing evidence from patient and psychoneuroimmunology studies that there is a clear correlation between the psychosocial stress and health state, but the neural mechanism of the correlation remain poorly understood. The deactivations of the limbic system and anterior frontal cortex during acute psychosocial stress were reported in recent studies, and the observed results suggest these brain...
The bearing and range estimation of near-field sources is studied and a novel method is presented. In our proposed algorithm the second-order statistics was used to estimate bearing of near-field sources. By exploiting the Toeplitz property of covariance matrix of far-field sources, we reconstruct a far-field approximate covariance matrix with respect to bearing only for near-field sources, which...
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