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An Efficient Implementation of the Rainflow Counting Algorithm for Life Consumption Estimation

机译：雨量计算算法在生命消耗估算中的有效实现

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摘要

In many reliability design and model-based health management applications where load profiles are variable and unpredictable, it is desirable to have efficient cycle counting methods to identify equivalent full and half cycles within the irregular load profile. Conventional cycle-based lifetime models can then be applied directly to provide information about the life consumption of the products. The use of an off-line rainflow algorithm is a common solution for arbitrary loads, but it cannot be applied in real time in its original form. This paper presents an in-line coding algorithm which uses a stack-based implementation, and a recursive algorithm to pick out the equivalent full and half cycles of the irregular load profile. The method can be integrated easily within time-domain or serial data applications to generate equivalent full and half cycles as they occur. Thus it is of particular significance for life estimation in real-time applications where use of the traditional implementations of the counting algorithm is impractical. In comparison with the off-line traditional rainflow method, the on-line method doesn't require any knowledge of the time history of the load profile because it processes each minimum or maximum when it occurs. Therefore, it provides a more efficient cycle counting method using less memory storage, and making more efficient use of computational resources within the real-time environment.
机译：在负载配置文件可变且不可预测的许多可靠性设计和基于模型的健康管理应用程序中，需要一种有效的周期计数方法来识别不规则负载配置文件中的等效全周期和半周期。然后可以直接应用基于周期的常规寿命模型来提供有关产品寿命消耗的信息。离线雨流算法的使用是任意负载的常见解决方案，但不能以其原始形式实时应用。本文提出了一种在线编码算法，该算法使用基于堆栈的实现方式，以及一种递归算法来选择不规则负载曲线的等效全周期和半周期。该方法可以轻松地集成到时域或串行数据应用程序中，以在发生时产生等效的完整周期和半周期。因此，对于实时应用中的寿命估算尤其重要，在实时应用中，使用计数算法的传统实现方式是不切实际的。与离线传统雨流方法相比，在线方法不需要任何有关负载曲线的时间历程的知识，因为它会在出现时处理每个最小值或最大值。因此，它提供了一种使用较少内存存储的更有效的周期计数方法，并在实时环境中更有效地利用了计算资源。

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