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MEMS based shock pulse detection sensor for improved rotary Stirling cooler end of life prediction

机译:基于MEMS的冲击脉冲检测传感器可改善旋转式斯特林冷却器的使用寿命

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The widespread use of rotary Stirling coolers in high performance thermal imagers used for critical 24/7 surveillance tasks justifies any effort to significantly enhance the reliability and predictable uptime of those coolers. Typically the lifetime of the whole imaging device is limited due to continuous wear and finally failure of the rotary compressor of the Stirling cooler, especially due to failure of the comprised bearings. MTTF based lifetime predictions, even based on refined MTTF models taking operational scenario dependent scaling factors into account, still lack in precision to forecast accurately the end of life (EOL) of individual coolers. Consequently preventive maintenance of individual coolers to avoid failures of the main sensor in critical operational scenarios are very costly or even useless. We have developed an integrated test method based on 'Micro Electromechanical Systems', so called MEMS sensors, which significantly improves the cooler EOL prediction. The recently commercially available MEMS acceleration sensors have mechanical resonance frequencies up to 50 kHz. They are able to detect solid borne shock pulses in the cooler structure, originating from e.g. metal on metal impacts driven by periodical forces acting on moving inner parts of the rotary compressor within wear dependent slack and play. The impact driven transient shock pulse analyses uses only the high frequency signal >10kHz and differs therefore from the commonly used broadband low frequencies vibrational analysis of reciprocating machines. It offers a direct indicator of the individual state of wear. The predictive cooler lifetime model based on the shock pulse analysis is presented and results are discussed.
机译:旋转式斯特林冷却器在用于关键24/7监视任务的高性能热成像仪中的广泛使用证明了为显着提高这些冷却器的可靠性和可预测的正常运行时间所做的任何努力。通常,整个成像装置的寿命由于连续磨损以及斯特林冷却器的旋转压缩机的最终故障而受到限制,特别是由于所含轴承的故障而受到限制。基于MTTF的寿命预测,即使基于考虑了运行场景相关缩放因子的精确MTTF模型,仍缺乏精确预测单个冷却器寿命(EOL)的精度。因此,对单个冷却器进行预防性维护,以免在关键操作场景中主传感器发生故障,这是非常昂贵的,甚至是无用的。我们已经开发了一种基于“微机电系统”的集成测试方法,即所谓的MEMS传感器,该方法可以显着改善较凉的EOL预测。最近可商购的MEMS加速度传感器具有高达50 kHz的机械共振频率。它们能够检测冷却器结构中的固体传来的冲击脉冲,这些脉冲源自于例如金属对金属的冲击是由周期性的力驱动的,该周期性的力在与磨损有关的松弛和游隙内作用在旋转式压缩机的移动内部部件上。冲击驱动的瞬态冲击脉冲分析仅使用> 10kHz的高频信号,因此不同于往复式机器的常用宽带低频振动分析。它提供了单个磨损状态的直接指示器。提出了基于冲击脉冲分析的冷却器寿命预测模型,并对结果进行了讨论。

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