Application of Flight Test Data Mining in Safety Monitoring of Civil Aviation Products

Aiming at the problems of flight test data mining, studying on data added value and civil aviation product safety monitoring, by using of flight test data resources, considering flight test characteristics, and learning from foreign airworthiness related technical methods, the safety monitoring parameter system of flight test aviation products at different levels is established, for example, the different levels are airplane, configuration, key system, survivability equipment and flight test. Secondly, the more safety data of accident, accident symptom, using difficult, unsafe event, fault, utilization, flight intensity and so on are used for establishing parameter models. Finally, the warning value model of safety monitoring and safety trend analysis based Weibull are established。 It provides an effective method for the multi-parameter safety monitoring based on flight test data mining. At the same time, it provides technical support of safety trend prediction and comprehensive early warning.