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Health monitoring system for transmission shafts based on adaptive parameter identification

机译：基于自适应参数辨识的传动轴健康监测系统

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摘要

A health monitoring system for a transmission shaft is proposed. The solution is based on the real-time identification of the physical characteristics of the transmission shaft i.e. stiffness and damping coefficients, by using a physical oriented model and linear recursive identification. The efficacy of the suggested condition monitoring system is demonstrated on a prototype transient engine testing facility equipped with a transmission shaft capable of varying its physical properties. Simulation studies reveal that coupling shaft faults can be detected and isolated using the proposed condition monitoring system. Besides, the performance of various recursive identification algorithms is addressed. The results of this work recommend that the health status of engine dynamometer shafts can be monitored using a simple lumped-parameter shaft model and a linear recursive identification algorithm which makes the concept practically viable.
机译：提出了一种用于传动轴的健康监测系统。该解决方案基于传动轴物理特性的实时识别，即通过使用物理定向模型和线性递归识别来确定刚度和阻尼系数。建议的状态监测系统的功效在配备有能够改变其物理特性的传动轴的原型瞬态发动机测试设备上得到了证明。仿真研究表明，使用所提出的状态监测系统可以检测并隔离联轴器的故障。此外，解决了各种递归识别算法的性能。这项工作的结果建议，可以使用简单的集总参数轴模型和线性递归识别算法来监视发动机测功机轴的健康状况，从而使该概念切实可行。

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