Optimization method for civil aircraft maintenance tasks with obvious operation effects of faults

In the maintenance planning of civil aircraft, the initial maintenance tasks based on MSG-3 standard for civil aircraft are set conservatively due to the lack of usage data support, resulting in problems such as excessive maintenance and poor economy in practice. An optimization method for civil aircraft maintenance tasks based on the guidance of IP 44 and the process of Boeing statistical analysis for scheduled maintenance optimization(SASMO)is proposed. Firstly, the characteristics of obvious operational impact faults based on their impact categories are sorted out. Secondly, all planned and unplanned maintenance data related to this category of maintenance tasks are collected. Then, a maintenance event chain to fuse multi-source maintenance data into a failure cycle and conduct statistical analysis is established, and the failure probability curve of the maintenance project is fitted. Finally, the optimization suggestions for maintenance task intervals are given based on engineering analysis and comprehensive evaluation. The results show that the optimization method for civil aircraft maintenance tasks proposed in this paper can reduce the grounding time, improve the maintenance efficiency, and reduce the maintenance cost.