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USING UNMANNED AERIAL SYSTEMS FOR CONDITION MONITORING OF ROTATING EQUIPMENT AND STRUCTURAL HEALTH MONITORING

机译:使用非必需的航空系统进行旋转设备的状态监测和结构健康监测

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The preferred approach for assessing equipment condition in an operating plant is to analyze condition-monitoring data from sensors rather than to interpret a physical inspection report. Data are collected continually over hard-wired networks for critical components. Less critical data are collected periodically using portable data loggers. As well, periodic physical inspections are still necessary for some equipment and structures. Manual inspections are time-consuming, access may be difficult, and inspection reporting is prone to human error. For these reasons, partial automation of periodic data collection should be considered. A system architecture is presented for a general-purpose unmanned aerial system capable of deploying a set of sensors for condition monitoring, including criteria for sensor selection, payload integration, data collection, processing, archiving, and reporting. Design options are presented for a robotic fixed-aircraft conducting an idealized pipeline leak detection survey, a rotorcraft for autonomous placement of a magnetically mounted accelerometer for rotating equipment condition monitoring, and a rotorcraft deploying an ultrasonic sensor for structural monitoring.
机译:评估运营工厂中设备状态的首选方法是分析来自传感器的状态监视数据,而不是解释物理检查报告。数据通过硬连线网络连续收集关键组件。使用便携式数据记录器定期收集不太重要的数据。同样,对于某些设备和结构仍然需要定期进行物理检查。手动检查很耗时,访问可能很困难,并且检查报告容易出现人为错误。由于这些原因,应考虑定期数据收集的部分自动化。提出了一种通用无人机系统的系统架构,该系统能够部署一组用于状态监视的传感器,包括传感器选择,有效载荷集成,数据收集,处理,归档和报告的标准。提出了针对进行理想化管道泄漏检测调查的机器人固定飞机,用于自主放置磁力安装的加速度计以用于旋转设备状态监测的旋翼飞机以及部署超声传感器以进行结构监测的旋翼飞机的设计选项。

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