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机队作为航空公司运输能力的关键,其安全性与可靠性直接影响到航空公司的经济效益.根据航空公司机队可靠性统计和数据采集方式以及实际应用情况,建立了航空公司机队可靠性评价指标体系.鉴于机队可靠性受多种复杂因素影响及各指标体系非线性等特点,结合人工神经网络基本原理和特性,提出了BP神经网络机队可靠性评价模型.最后应用该模型对航空公司机队可靠性进行了实例分析,得出了评价等级.结果表明,基于BP神经网络机队可靠性评价模型是可行的,该方法能够实现动态的评价,对提高航空公司机队可靠性评价技术水平具有现实的意义.
As the key of airlines’ transportation ability, the safety and reliability of the fleet directly affect the economic benefits of airlines.According to the reliability statistics and data collection methods of airlines fleet and the practical application, the fleet reliability Evaluation index system.According to the characteristics of fleet reliability affected by many complicated factors and the non-linearity of each index system, combined with the basic principles and characteristics of artificial neural network, a BP neural network fleet reliability evaluation model is proposed.Finally, The reliability evaluation of airlines fleet has been carried out, and the evaluation level has been obtained.The results show that the model of fleet reliability evaluation based on BP neural network is feasible, which can achieve dynamic evaluation and improve the reliability of the fleet of airlines Evaluation of technical level has real significance.