Confucian “Ren” and Christian Love

“Ren” (benevolence, perfect virtue ) is the core of Confucianism, which says “The benevolent man loves others”. But what is the place of Ren in today’s society? The heart of Christianity is “love” __ “The one who loves others is a kind hearted man”. But is “love” being misused in society? In order to create a new spirit for modern society, people should explore their own tradition, which should be combined with the modern values first. Ren and love could work together to achieve this goal. Great civilizations can not only coexist but also work hand in hand to found a harmonious society for every one

Short-term trend prediction of bearing based on SGWT and MLE method

Bearings are widely used in rotating machines, and the bearing abnormities have significant effects on the operation of machines. Short-term trend prediction of the bearing is very important for the maintenance decision making. In this paper, a novel bearing short-term prediction method based on SGWT and MLE method is developed. The original data is denoised using SGWT, and the maximum Lyapunov exponent which contains bearing fault characteristic information are calculated, and these characteristic parameters are used to predict the short-term trend of bearing. The effectiveness of this methodology is demonstrated using experimental data

A recognition method of plunger wear degree of plunger pump using probability neural network

In order to increase the diagnosis efficiency of plunger wear fault, a recognition method is developed using sensitivity analysis and probability neural network. Firstly, 17 time domain characteristics of vibration signal are extracted. Then analyzed the sensitivity of characteristics to failure to select sensitive characteristics parameters. Finally, PNN method to identify the degree of plunger wear was proposed. A hydraulic pump fault simulation experiment was designed, and validated the proposed method by experimental data. The results show that the method can quickly and effectively identify the degree of plunger wear