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An approach based on orthogonal locality preserving projection (OLPP) and support vector data description (SVDD) is proposed for the performance degradation assessment of rolling bearings. Firstly, the extracted features are selected according to the correlation with root mean square of vibration signals. Secondly, dimension reduction is performed on the selected features with OLPP and principal components are obtained. In the following, the performance degradation indicator (PDI) is constructed with the principal components fused by SVDD. Finally, the proposed approach is verified with the lifecycle data of two rolling bearings. The results show that the PDI has good monotonicity and is sensitive to the initial fault. Besides, the noise in the PDI could be efficiently suppressed.

Diabetes is an endocrine system disease characterized by high morbidity, high prevalence, and high mortality. Although the traditional medicine for treating diabetes has a good effect, its side effects are also large. Traditional Chinese medicine has also achieved good therapeutic effects in the treatment of diabetes, and the side effects of Chinese medicine are small. Coix is a medicinal and edible plant. It is used as food and medicine alone or in combination with other herbs in the early days. Its seeds have become one of the most popular Chinese herbal medicines. The coixan was extracted from Coix seed, and it was administered to diabetic mice. After five weeks of treatment, it was found to have some role in hypoglycemic. This study provides a good application prospect for Chinese medicine treatment of diabetes.

This letter focuses on a modified complex-valued Markov random field (CMRF) modeling filter to improve the performance in the filtering of the synthetic aperture radar interferometric phase. In the reference CMRF modeling phase map filter, the CMRF model was employed to update residues and their neighbors. By this, the residues were reduced, and phase jumps were preserved simultaneously. However, residue reduction was still insufficient. Furthermore, incorrect model parameter estimation leads to wrong filtering in some blocks. To solve the two aforementioned problems, we propose a modified CMRF modeling filter, where the original interferogram is divided into overlapped blocks. In addition, the adaptive weighted neighbor values are used to estimate the CMRF model parameters. Both simulated and real data experiments are performed to validate this method.

This paper presents a closed-form robust phase correlation based algorithm for performing image registration to subpixel accuracy. The subpixel translational shift information is directly obtained from the phase of the normalized cross power spectrum by using Maximum Likelihood Estimation (MLE). The proposed algorithm also has slighter time complexity. Experimental results show that the proposed algorithm yields superior registration precision on the Cramer-Rao Bound (CRB) in the presence of aliasing and noise.

In this paper, an adaptive patch-based filter for Synthetic aperture Radar (SAR) Interferometric phase in the Fourier transform complex domain is proposed. The proposed filter fully utilizes the properties of locally planar terrain phase noise model so that the noise can be suppressed according to the local level of noise. Moreover, the denoising performance of the proposed filter is further improved by an adaptive selection strategy for patch size. The experimental results show that the proposed method delivers state-of-the-art denoising performance in terms of objective criteria.

As to these bearings, whose outside diameter is large (d≥120), price is high, and life is long, the number of samples chosen is small in order to save sample quantity and test cost, not according to the standard. There are a lot of users to choose the bearings less than 8 pcs to test the life for comparing the different bearings quality. According to the trait of rolling bearing submitting to Weibull distribution and test data, this paper adopts no information prior distribution based on Bayes method, and presents point estimation of shape parameter and reliability, interval estimation of shape parameter, reliability, reliability life and mean life. This paper provides an available method for quantitative assessment of bearing reliability in terms of small sampling.