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Damage Identification on the Leaf Spring of a Railway Freight Wagon—Findings from Snap- Back Experiments with Transient Excitation

机译:铁路货运车叶片造成损伤识别 - 从瞬态激励的调速试验中的调查结果

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Structural Health Monitoring (SHM) systems for structural parts of freight wagons are subject to special conditions. An important task of those systems is to detect damage to the leaf springs of the wagons. In such a case, the damaged wagons must be removed from the train and repaired at the next opportunity. However, the framework conditions for such SHM systems for wagon suspensions are a challenge in some other respects: on the one hand, the commercial framework is very tight which prohibits the use of expensive technology. The hardware required for each wheelset must not only guarantee the operation of the SHM algorithms, but also the following functions: data storage, communication with the other wheelsets and a control center somewhere on the rail network, data management and system control and power supply. All tasks have to be performed under extreme environmental conditions like rain, snow, ice, heat, shock loads, dust, etc. Because of these requirements slim and robust SHM algorithms have to be developed. Based on these requirements, the proposed paper deals with the damage detection at the suspension of a railway freight wagon and firstly reveal, that the measured accelerations changes with the damage in a characteristic way. The authors show that the damage of the suspension is accompanied by a reduction in spring energy in the measured signals and a shift of the higher vibration modes. In this context, the paper has no pretense to develop new methodologies for damage identification but the simple findings from the experimental tests can be useful for the design of SHM systems for railway vehicles. At the end, a simple SHM approach for a low number of sensors with practically positions at the wagon is proposed.
机译:货车的结构部件的结构健康监测(SHM)系统受特殊条件。这些系统的一个重要任务是检测对货车的叶子弹簧的损坏。在这种情况下,必须从火车中取出受损的货车并在下一个机会修理。然而,对于Wagon Suspensions这样的SHM系统的框架条件是一些其他方面的挑战:一方面,商业框架非常紧密,禁止使用昂贵的技术。每个WHEELET所需的硬件不仅可以保证SHM算法的操作,还必须提供以下功能:数据存储,与其他轮子和控制中心的通信以及轨道网络,数据管理和系统控制和电源。所有任务必须在极端的环境条件下进行,如雨,雪,冰,热,震动载荷,灰尘等。由于这些要求,必须开发超薄和强大的SHM算法。根据这些要求,拟议的论文涉及铁路货车暂停的损害检测,首先揭示,测量的加速度随着特征方式的损害而变化。作者表明,悬浮液的损坏伴随着测量信号中的弹簧能量和较高振动模式的偏移。在这种情况下,本文没有假装开发用于损坏识别的新方法,但实验测试的简单发现对于铁路车辆的SHM系统设计很有用。最后,提出了一种简单的SHM方法,用于较低数量的传感器,其中几乎在马车处的位置。

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