Study On Application Of Information Fusion In Fault Diagnosis Of Pulverizing System

Because of the complexity of power plant and the uncertainty of equipment fault, the result which comes from the traditional fault diagnosis technology is not highly reliable. Information fusion technology is applied to fault diagnosis, which can improve reliability of the diagnostic result. The paper uses fault diagnosis method based on D-S evidence theory to monitor pulverized coal granularity. It is difficult to obtain the basic probability assignment, so the acquisition method based on typical sample is introduced and improved by normal distribution. The hierarchical information fusion fault diagnosis method based on gray correlation analysis and D-S evidence theory is presented in the paper. The method has avoided dimensionless processing of gray correlation analysis. At the same time, it can externally obtain basic probability assignment. The method is applied to fault diagnosis for coal pulverizer and its feasibility is validated. Finally, it introduces the design scheme of the software system for pulverizing system fault diagnosis based on SIS.