Fault detection expert system for weather station based on confidence rule base
In order to meet the requirement of fault detection for meteorological stations,a fault detection expert system for weather station based on confidence rule base is developed.Through the reliable weather station meteorological database established in the early stage,the expert system automatically completes data analysis and processing through the artificial intelligence algorithm model combined with expert experience and knowledge to decide whether the data of the meteorological sensor is abnormal,complete the prelimina-ry work of fault diagnosis,and rank the cause of the fault.Before on-site fault detection,the staff only needs to carry out auxiliary diagnosis for abnormal sensors through the sensor fault expert system of the me-teorological station,and the corresponding maintenance equipment or parts are replaced into the site for in-spection and maintenance according to the fault level after determining the fault level.Experimental tests have shown that the overall average detection accuracy of the system for each device has increased from 69.8％to 85.7％,greatly improving the efficiency and accuracy of detection.
NETL
NSTL
万方数据
