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Demand Forecasting of Helicopter Aviation Materials Based on Multi-model Reliability Analysis

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Recent Developments in Mechatronics and Intelligent Robotics (ICMIR 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1060))

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Abstract

In complicated helicopter equipment, different components have different characteristics about fault information. In the reliability and spare parts demand analysis, different analysis methods should be adopted on the basis of preliminary statistical analysis and in combination with the characteristics of equipment and spare parts. For the main problem in the practical work of the aviation units, this paper puts forward a helicopter material demand forecasting method based on multi-model reliability analysis. It mainly focuses on high-incidence trouble components, reliability growth components, and repairable components. Based on the reliability analysis, the accessories’ maintenance cycle could be calculated, and its requirements could be forecast. Some examples show its effectiveness.

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Correspondence to Peng Hui Niu .

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Niu, P.H., Hu, W., Lu, D. (2020). Demand Forecasting of Helicopter Aviation Materials Based on Multi-model Reliability Analysis. In: Patnaik, S., Wang, J., Yu, Z., Dey, N. (eds) Recent Developments in Mechatronics and Intelligent Robotics. ICMIR 2019. Advances in Intelligent Systems and Computing, vol 1060. Springer, Singapore. https://doi.org/10.1007/978-981-15-0238-5_18

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