Noise Analysis and Signal Processing in the Turbine Valve Closing Test

doi:10.11930/j.issn.1004-9649.201903020

Abstract

Abstract: The valve position signal may be contaminated by noise during the turbine valve closing test, which makes it hard to calculate the closing time accurately. As a result the reliability of turbine safety assessment will seriously be affected. In this paper, the components of the contaminated signal sampled in turbine valve closing test were first analyzed using fast Fourie transform (FFT). Then the accurate closing time was calculated by waveform comparison regarding the noise signal with single sinusoidal waveform component. Afterwards, the signal contaminated by multi-frequency sinusoidal noises was filtered by infinite impulse response (ⅡR) digital filtering method. The filtering effects of different filters were compared and the closing time after the filtering were calculated. It is suggested the waveform comparison method is very suitable for the computation of closing time with the signal contaminated by single component sinusoidal waveform. Both the Butterworth filter and Chebyshev I type filter can be used for signals contaminated by multi-frequency sinusoidal noises, while the former is slightly better than the latter regarding the accuracy of calculation results.

Key words: steam turbine, turbine valve closing time, noise contamination, FFT, waveform comparison, ⅡR digital filtering

CLC Number:

TM621.6

MEI Yiming, GU Weifei, ZHU Xiangyun, ZHU Bao. Noise Analysis and Signal Processing in the Turbine Valve Closing Test[J]. Electric Power, 2019, 52(9): 154-160.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.201903020

https://www.electricpower.com.cn/EN/Y2019/V52/I9/154

References

[1] 赵新刚, 路凡, 余新旋, 等. 产业转移视角下中国能源强度的空间分布特征和收敛性研究[J]. 工业技术经济, 2019, 38(1):100-108
ZHAO Xingang, LU Fan, YU Xinxuan, et al. Spatial distribution characteristics and convergence of Chinese regional energy intensity:an industry transfer perspective[J]. Industrial Technology & Economy, 2019, 38(1):100-108
[2] 韩华锋, 马玉娟, 黄一志, 等. 1 000 MW级火电机组智慧电厂建设研究[J]. 中国电力, 2018, 51(10):49-55
HAN Huafeng, MA Yujuan, HUANG Yizhi, et al. Research on the construction of intelligent power plant of 1 000 MW thermal power unit[J]. Electric Power, 2018, 51(10):49-55
[3] 俞葆青, 彭杏娜, 丛相州, 等. 超超临界机组疏水罐罐体泄漏原因分析及防治[J]. 中国电力, 2018, 51(9):83-87
YU Baoqing, PENG Xingna, CONG Xiangzhou, et al. Cause analysis and prevention of drainage-tank leakage in ultra-supercritical power plant[J]. Electric Power, 2018, 51(9):83-87
[4] 苏鹏, 王文君, 杨光, 等. 提升火电机组灵活性改造技术方案研究[J]. 中国电力, 2018, 51(5):87-94
SU Peng, WANG Wenjun, YANG Guang, et al. Research on the technology to improve the flexibility of thermal power plants[J]. Electric Power, 2018, 51(5):87-94
[5] 康剑南. 1 000 MW超超临界机组中压转子冷却技术经济性分析[J]. 汽轮机技术, 2018, 60(2):92-94
KANG Jiannan. Economy analysis on IP rotor cooling for a 1 000 MW ultra super-critical unit[J]. Turbine Technology, 2018, 60(2):92-94
[6] 王家胜, 赵杰, 钟晶亮, 等. 超临界机组甩负荷试验超速原因分析及处理[J]. 热力发电, 2018, 47(8):115-119
WANG Jiasheng, ZHAO Jie, ZHONG Jingliang, et al. Reason analysis and treatment for over-speed of load rejection test of supercritical units[J]. Thermal Power Generation, 2018, 47(8):115-119
[7] 中华人民共和国国家经济贸易委员会. 汽轮机调节控制系统试验导则:DL/T 711-1999[S]. 北京:中国电力出版社, 1999.
[8] 孟海洋. 新型国产1 050 MW超超临界机组高压主汽阀卡涩原因分析及改进[J]. 中国电力, 2018, 51(7):90-94
MENG Haiyang. Cause analysis and improvement on jammed high pressure main steam valve of new type domestic 1 050 MW ultra supercritical unit[J]. Electric Power, 2018, 51(7):90-94
[9] 李玉娟, 张士龙, 任冬梅, 等. 基于汽轮机阀门关闭时间测试试验和一元线性回归分析法的超大型机组的调速系统设计方法[J]. 发电与空调, 2016, 37(6):22-24
LI Yujuan, ZHANG Shilong, REN Dongmei, et al. Analysis of very large units of speed control system design method based on steam turbine valve closing time test and monadic linear regression[J]. Power Generation & Air Condition, 2016, 37(6):22-24
[10] 苏耀国, 李云, 王炳淇. 电站汽轮机阀门关闭超时问题分析与解决方案研究[J]. 汽轮机技术, 2018, 60(2):142-146
SU Yaoguo, LI Yun, WANG Bingqi. Analysis and solution research on problems of turbine valve closing timeout[J]. Turbine Technology, 2018, 60(2):142-146
[11] 孙康娜. 核电汽轮机超速影响因素分析[J]. 热力透平, 2017, 46(1):6-8
SUN Kangna. Analysis of influencing factors of overspeed in nuclear steam turbines[J]. Thermal Turbine, 2017, 46(1):6-8
[12] 张鲁. DEH阀门位置反馈方式的探讨[J]. 热力发电, 2003, 32(2):60-61
ZHANG Lu. An approach to the feedback mode of DEH valve position[J]. Thermal Power Generation, 2003, 32(2):60-61
[13] THONG-UN N, WONGSAROJ W, TREENUSON W, et al. An experimental study of different signal processing methods on ultrasonic velocity profiles in a single phase flow[J]. Engineering Journal, 2018, 22(3):123-142.
[14] 王盼盼, 吴自然, 吴桂初, 等. 基于时域波形比较法的故障电弧检测算法研究[J]. 温州大学学报(自然科学版), 2016, 37(4):46-53
WANG Panpan, WU Ziran, WU Guichu, et al. Algorithm research of arc fault detection based on time-domain waveform comparison[J]. Journal of Wenzhou University (Natural Sciences), 2016, 37(4):46-53
[15] 王玉田, 吴梦艳. 四极核电汽轮发电机转子匝间短路测试方法研究[J]. 大电机技术, 2014(2):40-43
WANG Yutian, WU Mengyan. Research on inter-turn short-circuit test method for four-pole nuclear power turbo-generator rotor[J]. Large Electric Machine and Hydraulic Turbine, 2014(2):40-43
[16] DESSEN F. Optimizing order to minimize low-pass filter lag[J]. Circuits System and Signal Processing, 2019, 38(2):481-497.
[17] KAWALA-JANLK A, BAUER W, AL-BAKRL A, et al. Implementation of low-pass fractional filtering for the purpose of analysis of electroencephalographic signals[C]//9th International Conference on Non-Integer Order Calculus and Its Applications, Poland, 2017, 496:63−73.
[18] YANG L, ZHU L, CHOL W W, et al. Wideband balanced-to-unbalanced bandpass filters synthetically designed with Chebyshev filtering response[J]. IEEE Transactions on Microwave Theory and Techniques, 2018, 66(10):4528-4539.
[19] 王鹏博, 严一尔. 带通与低通级联滤波器的设计[J]. 电子器件, 2018, 41(6):1473-1476
WANG Pengbo, YAN Yier. Design of bandpass and low-pass cascade filter[J]. Chinese Journal of Electron Devices, 2018, 41(6):1473-1476
[20] BOGATYREV A B, GORELNOV S A, LYAMAEV S Y. Efficient synthesis of optimal multiband filter[J]. Russian Journal of Numerical Analysis and Mathematical Modelling, 2017, 32(4):217-223.