Papers by Author: Cheng Gang Zhen

Abstract: Health monitoring of the structure is a topic widely concerned and researched in the fields of technology and engineering at home and abroad. Damage identification of structure is an important aspect of the whole health monitoring system. In this paper, the RBF neural network with the effect of bionic is used to the extent, location and area recognition of the damage on the structure with single damage. The method of orthogonal least squares (OLS) is used as the learning method of the network. The test results show that the RBF neural network and the learning method of OLS can identify the damage status of the structure quickly and effectively with high accuracy.

Abstract: nformatization construction is a major issue of current social construction, and the technology of multi-source information fusion is an integral part of the information construction. This paper provides an overview of the technology of the multi-source information fusion, gives an introduction of the application of the technology of multi-source information fusion in industrial monitoring and fault diagnosis, and gives the direction of development and trends of the technology in the future according to the main problems in the research of the technology of multi-source information fusion.

Abstract: To improve the efficiency of the power generation，the scheme of the solar tracking system is designed by analyzing the technical characteristics of the GPS positioning system. The microcontroller is chosen as the core which has realized the initiative sun-tracking to improve the efficiency of the power generation. The solar elevation angle and azimuth are calculated by extracting the GPS real-time datas. The position of the solar panels can be obtained through the angle sensor. Finally, adjust the orientation of the panels by the driving stepping motor to track the sun.

Abstract: Fault diagnosis is an important technical method to improve the safety index and economic effectiveness of wind turbines, it also provide support to advanced maintenance and design in wind power equipment. In this paper, we have done vibration testing on two wind turbines, one is in normal, the other is with faulty, and then carried on comparative analysis of vibration signal to the experimental data, finally designed a fault diagnosis method for direct-driven wind turbine generators.