The Research Of Information Fusion Algorithm For Intelligent Decision Of Airborne Electronic System's BIT

The BIT intelligent decision-making of airborne electronic system plays a very important role in the process of BIT. To satisfy the requirements for complexity,security,timeliness,etc of airborne electronic system,the following decisions are necessary in the process of decision-making:(1)Based on the preliminary judgment for each component's fault given by the fault diagnosis section, confirm the failure component after analysis the fault effect and relationship between the components combined with the expert syatem library.(2)confirm the dangers of each fault;(3)Acorrding to the security of the aircraft and whether affect the completion of current task to determine the system to be fault-tolerant operation, isolation,or down for maintenance;(4)The decision whether the component is direct replaced or repaired base on the remaining life of the current fault component, fault rate, repairment costs and other indicators;(5)Refer to the current fault, the current system tasks, determing the order of troubleshooting;(6)Confirm the interval time of preventive BIT self-test, that is how long the preventive BIT self-test should be taken.The main work is:First,Based on the system status and fault diagnosis system,it corresponds to a fault expert system data base, by training the neural network algorithm, and then it depend on the result to give the current system fault diagnosis or failure of each component.Second,According to the Severity Level(S) of airborne electronic system-defined failure mode, the probability level(O) of each failure mode,the difficulty level of each mode is,and other comprehensive measures,which determine the fuzzy relationship between the danger of failure,the current failures, the current system of tasks, the fuzzy logic is helpful to determine the order of them;Third,according to the impact on the safety of aircraft, which the task is completed or not and other conditions, and combined with the ID3 decision tree algorithm and rough set theory into the rule base obtained expert systems, finally it come to the decision that the system should be take the fault-tolerant operation, isolation, or stop for maintenance; The current remaining life of the component failure, failure frequency, repair costs and other evidence indicators, combined with evidence theory make the decision whether the replacement or repairment is needed;Forth, According to the fault data records,the BIT self-test determines the preventive interval time, How long the preventive BIT self-test should be taken.The study analyzed the content of decision-making and the use of information fusion method, with a sample program simulated,the results were analyzed to verify the feasibility of the decision-making method, it provided the airborne electronic systems a scientific basis for the BIT intelligent decision-making.