1. International Conference on Machine Learning and Cybernetics, Vol. 1, p.p.10-14 July, 2011. Research on a Fuzzy Multi-Objective Decision Model

2. Outline Abstract: Introduction The composition and implementation of temperature change monitoring system Fault diagnosis algorithm based on information fusion technology The application of basic D-S evidence theory fusion algorithm in high-voltage electrical equipment fault diagnosis Conclusion References

3. Abstract Fault diagnosis is an important method to ensure the normal operation of electrical equipment. In order to reflect the operational status of electrical equipment from many ways and realize the automatic recognition and accurate diagnosis of electrical equipment failure modes, it is proposed a fault diagnosis method based on information fusion technology. In this paper, on the basis of multi-source information fusion technology, a new multi-source information fault diagnosis method combining D-S evidence theory and fuzzy athematics is put forward.

4. Introduction The development of science and technology promotes the modernizing trends of power system and equipment such as much higher voltage, larger capacity, systematic and automated. Due to equipment failure caused interruption of power supply will make the production halt, life fall into disarray, or even endanger the safety of persons and equipment. Therefore, safe and reliable operation of equipment is very important. The running requirements of power system promote the development of monitoring and fault diagnosis technology of the power equipment. At present, the information fusion technology has been gradually applied to equipment fault diagnosis field [1-3].

5. The composition and implementation of temperature change monitoring system In the past, fault monitoring system uses single chip microcomputer as core. In these systems, after the signal acquisition and processing of the selected object, whether the system is operating smoothly can be determined by comparing these signals with the desired value directly

6. The composition and implementation of temperature change monitoring system

8. Fault diagnosis algorithm based on information fusion technology Considering the characteristics of a variety of information fusion algorithm, DS evidence reasoning decision theory combining with fuzzy set theory is chosen as multi-sensor data fusion algorithm of high voltage electrical equipment fault location.

9. The application of basic D-S evidence theory fusion algorithm in high-voltage electrical equipment fault diagnosis

10. Conclusion Power equipment fault diagnosis is a technology that can learn and master the equipment operating status, distinct and identify equipment abnormalities, early detect potential fault of equipment. Through the rational construction of basic probability assignment function, it can reduce the uncertainty of the diagnosis greatly. By the introduction of membership function used in Fuzzy set, the calculation of basic probability assignment function is simplified, and the difficulty of the function structure is reduced.

11. References