An optimization method of aircraft periodic inspection and maintenance based on the zero-failure data analysis

An optimization method of aircraft periodic inspection and maintenance on the zero-failure data analysis is proposed to effectively solve excessive maintenance in this work, and decrease aircraft unserviceable time. This method includes optimization object analysis, failure distribution recognition, zero-failure data analysis by confidence limit optimal estimate and nonlinear programming solving failure distribution parameters equations. Optimization object analysis adopts software WinQSB to build a network-planning diagram, and optimization object is selected according to obtained critical path and activity. Failure distribution class of optimization object is recognized from distribution class table or failure distribution recognition flow. By confidence limit optimal estimate way, the reliability models of airframe, engine, airborne equipment with lower confidence limit corresponding to confidence level (1-a) are presented and solved by nonlinear programming. The simulation and practical application shows the high efficiency and easy operability.