A sensor for steam turbine rotor shaft vibration measurement based on PSD

Journal Information

J. Hefei Univ. Tech. (Nat. Sci.), Jan.2023, Vol.46 No.1: 15-20

DOI: 10.3969/j.issn.1003-5060.2023.01.003

Authors

ZHAO Jixing $ ^{1,2} $, LI Chen $ ^{1} $, MA Shaohua $ ^{1} $, LEI Yingjun $ ^{1} $, LI Ruijun $ ^{1} $

(1. School of Instrument Science and Opto-electronics Engineering, Hefei University of Technology, Hefei 230009, China; 2. Huaneng Chaohu Power Plant Co., Ltd., Hefei 238015, China)

Abstract and Keywords

Abstract: In response to the measurement requirements of the rotor shaft vibration of the steam turbine, a vibration sensor based on position sensitive detector (PSD) is designed. The sensitivity model of the sensor is established, the optimal structural parameters of the sensor are obtained according to the model, and a low-noise signal processing circuit is designed. The sensor is calibrated and tested through experiments, and the results show that the sensitivity is 0.33 V/mm, the measurement range is 2 mm, the amplitude resolution is 4 $ \mu $m, the frequency response range is 10-325 Hz, and the standard deviation of repeated experiments is better than 3 $ \mu $m. Additionally, it is compared with the commercial eddy current sensor, and the measurement results of the two are consistent. Therefore, the vibration sensor in this study can be used to detect the vibration of the rotor shaft of the steam turbine.

Keywords: vibration measurement; position sensitive detector(PSD); laser triangulation; steam turbine rotor shaft vibration

作者信息

赵继兴 $ ^{1,2} $，李晨 $ ^{1} $，马少华 $ ^{1} $，雷英俊 $ ^{1} $，李瑞君 $ ^{1} $

(1. 合肥工业大学仪器科学与光电工程学院，安徽合肥 230009；2. 华能巢湖发电有限责任公司，安徽合肥 238015)

摘要和关键词

摘要: 针对汽轮机转子轴振动的测量需求,文章研制一款基于位置敏感器件(position sensitive detector, PSD)的振动传感器。建立传感器的灵敏度模型,根据模型得出传感器的最优结构参数,并设计低噪声的信号处理电路;通过实验对该传感器进行标定和测试,并与商用电涡流传感器进行对比测试。结果表明:振动传感器的灵敏度为0.33 V/mm,测量范围为2 mm,振幅分辨率为4 $ \mu $m,频率响应范围为10~325 Hz,重复实验标准差优于3 $ \mu $m;与商用电涡流传感器的测量结果具有良好一致性,可用于汽轮机转子轴振动的检测。

关键词: 振动测量；位置敏感器件(PSD)；激光三角法；汽轮机转子轴振动

Funding

国家自然科学基金资助项目（51675157）

合肥工业大学学报(自然科学版)

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