Papers by Author: Jian De Wu

Abstract: The running process of rolling bearing is often nonlinear and abnormal. Therefore, this paper uses the method which combing KICA and LS-SVM to achieve bearings' fault monitoring and classification. Firstly, the vibration signal is mapped into the high dimensional space by using kernel methods, constructing the I2, Ie2 and SPE indicator in the high dimensional space to monitor the process data. And then when the fault occurred, extracting the time domain and wavelet energy features to construct the multi-domain mixed feature set, and input the feature vector into LS-SVM for classification. Experimental results show the method can complete the fault monitoring and classification of rolling bearing effectively.

Abstract: This paper introduces two models for calculating friction loss in slurry pipeline. Based on the comparison between the measured pressure loss of the highly concentrated iron ore concentrate slurry pipeline in Dahongshan, Yunnan Province, CHINA and the calculation outcomes of the two models, the model which can predict pressure loss in this kind of slurry pipelines has been found.

Abstract: For the complex terrain, in long-distance slurry pipeline, the core equipment of the running pipeline - valve monitoring is particularly important. This paper based on the actual running conditions of Yunnan Dahongshan pipeline, developed an intelligent valve control system. Valve monitoring and management can be seen in this system, which combines software programming, measurement technology, communication networks, as well as order management, fault management, spare parts management, query statistics. Getting running parameters rely on the monitoring system, and then for the mathematical model of solid traffic in slurry pipeline transportation, the slurry weight can be measured. The system achieved valve monitoring and management very well, improving the long-distance slurry pipeline running reliability.

Abstract: This paper studies the content from the urgent needs of production practice, it will take mechanism analysis to be a breakthrough to solve the problem of the resistance loss of complex terrain of iron ore slurry transportation. Through the analysis of past formula of pipeline resistance loss, combined with the actual characteristics of Dahongshan pipeline, correction formula of pipeline transportation resistance loss is derived. And we use the actual production data to prove the accuracy of the formula, the error is under control within 10%. The formula ignores energy loss due to the movement of particles, so the bias between the calculated and measured values still exists. But the formula still has important engineering significance.

Abstract: In order to exist and develop in an unpredictable and rapidly changing surroundings, it is necessary for enterprise to have an agile information systems to support its success. An agile information system is the one can reconstruct itself and adapt quickly to it’s environments. The article will begin with the focus on one more properties of information system agility, explain its definition, build its evaluating indicator system, provide the hierarchical evaluation model of information system agility, and describe the evaluation process and mathematical method. Finally, by using an example, the practicability and validity of the evaluation model is proved, comprehensive and scientific evaluation of information system agility is achieved.

Abstract: RFID is an important part of Internet of things, however, solving tag anti-collision problem is the key to RFID. In order to improve the identification efficiency of anti-collision algorithm, the performance of the time slot ALOHA algorithm is analyzed and the improved ALOHA is proposed that when there is an unknown number of tags, the window size will be dynamically adjusted according to the anti-collision algorithm. When estimate the number of tags, the conflict probability is taken into account and according to the current window size, the return value of each read cycle, the calculated conflict probability, and the estimated number of tags, the window size will be dynamically adjusted. The number of tags and the colliding tags within one time slot can be identified quickly and the performance of the system and tag anti-collision algorithm will be improved. Through modeling and simulation, after comparing and analyzing the results, the practicability and feasibility of the improved anti-collision algorithm is verified.

Abstract: Miniature unmanned helicopter (MUH) is a controlled member which is very complicated, due to their some characteristics such as highly nonlinear, close coupled, time-variation, open-loop unstable etc. The traditional method of identification is a whole model method. Although those can solve some hard problem, the time-variation is not treated well. The paper introduces a method of model building for miniature unmanned helicopter (MUH), based on local least square support vector machine. Namely the nearest samples to the predicted sample are selected online, and model building is finished by those samples with prediction. The feature of this method is that using the idea of local model building updates the model online, and the global model building brings the low ability of model generalization. In the last, compared with the traditional method of least square support vector machine in the experiment, the results show the algorithm is more effective.

Abstract: Under the premise of transportation inconvenient, reducing pollution and environmental protection, iron concentrate pipeline transportation developing rapidly. However, due to pipeline related to fluid mechanics, solid-liquid two-phase flow, rheology, and other subjects, many scientific problems are still not resolved. Because of these problems, a further study on running control, security management, and optimize operations of pipeline transportation are needed, ensuring pipeline security, stability and efficient running. Intelligent plant design of pipeline transportation presents in this paper, taking intelligent data integration technologies, holding real-time data, running conditions of pipeline transportation and equipment, devices modeling integrated into a platform, achieving optimal scheduling, the goal of intelligent scheduling, as a result it can improve the management level, achieve energy conservation, improve production efficiency.