摘要
无人机在现代国民经济中发挥着越来越重要的作用，应用范围广泛，涉及农业、工业、交通运输、环境监测、医疗救援等各个领域，已成为经济发展的新动力。故障预测与健康管理的意义在于提高设备的可靠性，故障诊断技术可以准确地找出设备故障的原因和部位，以便及时修复并恢复设备原有的功能，有助于保证设备的稳定运行，提高设备的可靠性。同时，它提供定制化的维护建议和设备的最佳维修时机，最大限度地减少不必要的维护成本。提前规划维护：健康预测技术可以评估设备的健康状况，预测性能下降趋势和剩余使用寿命。如何快速诊断无人机故障原因，准确判断健康状况，结合当前无人机维修保障能力，提出合理化的维修对策建议，确保无人机保修服务既满足成本控制的经济性需求，又能高效地支持其执行的任务要求，因此该研究具有十分现实的经济价值和实际意义。
关键词： 无人机；国民经济；故障；健康状况；维修保障
Abstract
Unmanned Aerial Vehicles (UAVs) are playing an increasingly important role in the modern national economy, with a wide range of applications covering a variety of fields such as agriculture, industry, transport, environmental monitoring, medical rescue, and so on, and have become a new driving force for economic development. The significance of fault prediction and health management can improve the reliability of equipment, and fault diagnosis technology can accurately find out the cause and location of equipment failure, so as to repair and restore the original function of the equipment in time. This helps to ensure the stable operation of the equipment and improve its reliability of the equipment. At the same time, it provides customized maintenance recommendations and the best time to repair the equipment, minimizing unnecessary maintenance costs. Plan maintenance ahead of time: Health prediction technology can assess the health of your equipment and predict performance degradation trends and remaining useful life. How to quickly diagnose the cause of UAV failure, accurately determine the health status, combined with the current UAV maintenance guarantee capacity, put forward rationalised maintenance countermeasure suggestions, to ensure that the UAV warranty service not only meets the economic demand of cost control, but also can efficiently support the mission requirements of its execution, so the research has a very realistic economic value and practical significance.
Key words： UAVs; National economy; Malfunctions; State of health; Maintenance guarantees
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