A laser-optical sensor system for blade vibration detection of high-speed compressors

A laser-optical sensor system for blade vibration detection of high-speed compressors
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DOI:
10.1016/j.ymssp.2015.04.026
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发表时间:
2015-12-01
影响因子:
8.4
通讯作者:
Czarske, Juergen
Czarske, Juergen
中科院分区:
工程技术1区
文献类型:
--
作者:
Neumann, Mathias;Dreier, Florian;Czarske, Juergen

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涡轮机和压缩机的效率提高以及寿命延长是涡轮机发展的重要目标。实现这些目标的一个显著增强可以在机器的操作参数的在线监测中看到。在压缩机的运行过程中,通过观察叶片变形和振动来预测颤振或失速等关键事件是非常重要的。我们已经开发了一种激光多普勒距离传感器(LDDS),它能够同时测量径向叶片膨胀,周向叶片偏转以及转子叶片尖端的周向速度。结果,在特征频率处失速之前测量到叶片振动的增加。虽然检测到的振动频率和振动增加与商用电容式叶尖定时系统的测量结果一致,但是振动幅度的测量值相差三倍。这种差异主要归因于不同的测量位置和不同的测量方法。由于LDDS适用于金属以及陶瓷,碳纤维和玻璃纤维增强复合材料叶片,一个普遍适用的传感器系统的失速预测和状态监测。(C)2015爱思唯尔有限公司版权所有。
Improved efficiency as well as increased lifetime of turbines and compressors are important goals in turbomachinery development. A significant enhancement to accomplish these aims can be seen in online monitoring of the operating parameters of the machines. During the operation of compressors it is of high interest to predict critical events like flutter or stall which can be achieved by observing blade deformations and vibrations. We have developed a laser Doppler distance sensor (LDDS), which is capable of simultaneously measuring the radial blade expansions, the circumferential blade deflections as well as the circumferential velocities of the rotor blade tips. As a result, an increase of blade vibrations is measured before stall at characteristic frequencies. While the detected vibration frequencies and the vibration increase are in agreement with the measurement results of a commercial capacitive blade tip timing system, the measured values of the vibration amplitudes differ by a factor of three. This difference can be mainly attributed to the different measurement locations and to the different measurement approaches. Since the LDDS is applicable to metal as well as ceramic, carbon-fiber and glass-fiber reinforced composite blades, a universally applicable sensor system for stall prediction and status monitoring is presented. (C) 2015 Elsevier Ltd. All rights reserved.