通过数据驱动车队管理(DDFM)实现成本明智的准备:通过实施后评估衡量PHM系统的效益

M. Carter, Joshua S. Kennedy
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引用次数: 4

摘要

逐渐下降的预算迫使美国陆军利用数据驱动的舰队管理(DDFM)技术来削减战备和维持的成本。DDFM是应用和集成适当的过程、技术和基于知识的能力,以提高陆军飞机系统和部件的可靠性和维护效率。使用系统工程方法来收集数据,启用分析,并支持决策过程,系统获取、维护和操作。为了降低不断上升的成本,美国国防部投资开发了数字源收集器,作为机载数据记录系统,用于收集数据。因此,陆军航空兵已经安装了数千个dsc。作为DDFM计划的一部分,dsc支持可操作的信息,并使陆军航空兵的适航当局能够纠正某些基于时间的维护实践。这可以大幅降低成本,减轻作战人员的维护负担,从而促进整个舰队对更高整体质量维护性能的更大重视。陆军航空兵这样做是为了支持任务准备。算法提供基于振动的诊断能力,使转子跟踪和平衡,或转子平滑,以减少转子振动。转子平滑将转子系统中寿命有限的动态部件的负载降至最低。它改善了机组人员的人为因素,减少了非旋翼系统部件的振动,并支持减少振动引起的故障。该算法可以自动进行状态监测,减少了在极端战斗压力下的恶劣环境中由于人为错误而导致的基于时间的视觉检查要求和部件更换。数据分析表明,该技术支持快速减轻成本和维护负担;维持费用占所有权成本的70%。通过适当地利用DSC来延长时间,可以显著地节省成本。这增加了飞机在空中的时间,从而减少了更换昂贵部件的频率和幅度。陆军航空和导弹指挥后勤中心制定了实施后评估方法,作为测量、捕获和沟通DDFM如何支持效率的可重复程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cost-wise readiness enabled through data driven fleet management (DDFM): Measuring PHM system benefits through post implementation assessment
Progressively declining budgets compel the U. S. Army to utilize Data Driven Fleet Management (DDFM) technology to cut the cost of readiness and sustainment. DDFM is the application and integration of appropriate processes, technologies, and knowledge based capabilities to improve the reliability and maintenance effectiveness of Army Aircraft Systems and components. Uses a systems engineering approach to collect data, enable analysis, and support the decision-making processes system acquisition, sustainment, and operations. As part of an effort to mitigate rising costs, the Department of Defense has invested in the development of Digital Source Collectors as an onboard aircraft data recording system used to collect data. As a result, Army Aviation has installed thousands of DSCs. As part of its DDFM initiative, DSCs support actionable information and has enabled Army Aviation's airworthiness authority to remediate certain time-based maintenance practices. This enables substantial cost avoidance, eases the Warfighter's maintenance burden, and thereby promotes greater fleetwide emphasis on the performance of higher overall quality maintenance. Army Aviation does this to support mission readiness. Algorithms provide vibration based diagnostics capability, enabling rotor track and balance, or rotor smoothing, to reduce rotor vibrations. Rotor smoothing minimizes loads on life-limited dynamic components in the rotor system. It improves aircrew human factors, reduces vibration in non-rotor system components, and supports the reduction of vibration induced failures. The algorithms automate condition monitoring, reducing time-based visual inspection requirements and component replacements that can result from human error within austere environments under the extreme pressures of combat. Data analysis shows that the technology supports fleetwide mitigation of cost and maintenance burden; where sustainment constitutes up to 70% of ownership costs. Time extensions enabled through proper DSC utilization result in significant cost avoidance benefits. This increases time on and wing, thereby reducing the frequency and magnitude of costly component replacement. The Army Aviation and Missile Command Logistics Center produced the Post Implementation Assessment methodology featured in this paper as a repeatable procedure to measure, capture, and communicate how DDFM supports efficiency.
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