CIESC Journal ›› 2019, Vol. 70 ›› Issue (S1): 248-256.DOI: 10.11949/j.issn.0438-1157.20190007
• Process safety • Previous Articles
Wenliang WANG(),Fang WANG,Shi en WU,Weiguo LIN(
)
Received:
2019-01-03
Revised:
2019-02-20
Online:
2019-03-31
Published:
2019-03-31
Contact:
Weiguo LIN
通讯作者:
林伟国
作者简介:
<named-content content-type="corresp-name">王文亮</named-content>(1995—),男,硕士研究生,<email>2017200724@mail.buct.edu.cn</email>|林伟国(1968—),男,博士,教授,<email>linwg@mail.buct.edu.cn</email>
基金资助:
CLC Number:
Wenliang WANG, Fang WANG, Shi en WU, Weiguo LIN. Research on valve internal leakage monitoring based on single acoustic sensor[J]. CIESC Journal, 2019, 70(S1): 248-256.
王文亮, 王芳, 吴石恩, 林伟国. 阀门内漏单声波传感器监测方法研究[J]. 化工学报, 2019, 70(S1): 248-256.
参数名称 | 数值 |
---|---|
阀门上游压力 | 200 kPa |
阀门下游压力 | 101 kPa |
阀门泄漏孔径 | 1.7%阀门开度 |
管道直径 | DN20 |
管壁厚度 | 6 mm |
信号采样频率fs | 100 Hz |
Table 1 Test condition
参数名称 | 数值 |
---|---|
阀门上游压力 | 200 kPa |
阀门下游压力 | 101 kPa |
阀门泄漏孔径 | 1.7%阀门开度 |
管道直径 | DN20 |
管壁厚度 | 6 mm |
信号采样频率fs | 100 Hz |
序号 | 均方根值(RMS)/mV | 峰度系数(Ku) |
---|---|---|
1 | 36.3598 | 3.3304 |
2 | 37.0721 | 3.4176 |
3 | 36.4608 | 3.3501 |
4 | 36.8929 | 3.3946 |
5 | 36.3821 | 3.2689 |
6 | 124.4467 | 7.1149 |
7 | 118.4837 | 11.1468 |
8 | 125.7384 | 9.5663 |
9 | 116.4211 | 8.3873 |
10 | 131.8745 | 9.9753 |
Table 2 Acoustic signal time domain characteristic parameters
序号 | 均方根值(RMS)/mV | 峰度系数(Ku) |
---|---|---|
1 | 36.3598 | 3.3304 |
2 | 37.0721 | 3.4176 |
3 | 36.4608 | 3.3501 |
4 | 36.8929 | 3.3946 |
5 | 36.3821 | 3.2689 |
6 | 124.4467 | 7.1149 |
7 | 118.4837 | 11.1468 |
8 | 125.7384 | 9.5663 |
9 | 116.4211 | 8.3873 |
10 | 131.8745 | 9.9753 |
序号 | 阀门正常 | 瞬态内漏 |
---|---|---|
1 | 16.4332 | 5.7205 |
2 | 16.7183 | 8.5889 |
3 | 16.7863 | 3.9855 |
4 | 16.6846 | 5.8735 |
5 | 16.454 | 6.7332 |
6 | 16.7299 | 4.1248 |
7 | 17.3117 | 6.4734 |
8 | 16.4612 | 4.2227 |
9 | 17.479 | 7.0074 |
10 | 17.2883 | 4.2243 |
均值 | 16.8347 | 5.6954 |
Table 3 Power spectrum gravity under valve normal and internal leakage conditions/Hz
序号 | 阀门正常 | 瞬态内漏 |
---|---|---|
1 | 16.4332 | 5.7205 |
2 | 16.7183 | 8.5889 |
3 | 16.7863 | 3.9855 |
4 | 16.6846 | 5.8735 |
5 | 16.454 | 6.7332 |
6 | 16.7299 | 4.1248 |
7 | 17.3117 | 6.4734 |
8 | 16.4612 | 4.2227 |
9 | 17.479 | 7.0074 |
10 | 17.2883 | 4.2243 |
均值 | 16.8347 | 5.6954 |
管道压力/kPa | 正常样本帧数 | 内漏样本帧数 |
---|---|---|
100 | 90 | 5 |
200 | 70 | 10 |
300 | 85 | 5 |
Table 4 Test sample set
管道压力/kPa | 正常样本帧数 | 内漏样本帧数 |
---|---|---|
100 | 90 | 5 |
200 | 70 | 10 |
300 | 85 | 5 |
泄漏 孔径/mm | 阀门上游 压力/kPa | 平均泄漏量/(L/min) | 模型输出f(z) (第1/2次) |
---|---|---|---|
0.8 | 210 | 0.328 | 0.0234/0.0216 |
1 | 240 | 0.540 | 0.0426/0.0666 |
2 | 220 | 1.933 | 0.8905/0.6025 |
3 | 200 | 4.375 | 0.5896/0.9449 |
Table 5 Test results of sensitivity test
泄漏 孔径/mm | 阀门上游 压力/kPa | 平均泄漏量/(L/min) | 模型输出f(z) (第1/2次) |
---|---|---|---|
0.8 | 210 | 0.328 | 0.0234/0.0216 |
1 | 240 | 0.540 | 0.0426/0.0666 |
2 | 220 | 1.933 | 0.8905/0.6025 |
3 | 200 | 4.375 | 0.5896/0.9449 |
1 | 王忠锋, 黄剑龙, 李力刚, 等. 基于无线通信的阀门泄漏检测系统[J]. 仪器仪表学报, 2009, 30(6): 517-519. |
WangZ F, HuangJ L, LiL G, et al. Valve leakage detection system based on wireless communication [J]. Chinese Journal of Scientific Instrument, 2009, 30(6): 517-519. | |
2 | LeeJ H, LeeM R, KimJ T, et al. A study of the characteristics of the acoustic emission signals for condition monitoring of check valves in nuclear power plants [J]. Nuclear Engineering and Design, 2006, 236(13): 1411-1421. |
3 | LeeM R, LeeJ H, KimJ T. Condition monitoring of a nuclear power plant check valve based on acoustic emission and a neural network [J]. Journal of Pressure Vessel Technology, 2005, 127(3): 230-236. |
4 | LeeS G, ParkJ H, YooK B, et al. Evaluation of internal leak in valve using acoustic emission method [J]. Key Engineering Materials, 2006, 326/327/328: 661-664. |
5 | KaewwaewnoiW, PrateepasenA , KaewtrakulpongP. Investigation of the relationship between internal fluid leakage through a valve and the acoustic emission generated from the leakage[J]. Measurement, 2010, 43(2): 274-282. |
6 | 李振林, 张海峰, 夏广辉. 基于声发射理论的阀门气体内漏量化检测研究[J]. 振动与冲击, 2013, 32(15): 77-81. |
LiZ L, ZhangH F, XiaG H. Quantitative detection of valve internal air leakage based on acoustic emission theory [J]. Journal of Vibration and Shock, 2013, 32(15): 77-81. | |
7 | ThompsonG, ZolkiewskiG. An experimental investigation into the detection of internal leakage of gases through valves by vibration analysis [J]. Journal of Hubei University of Economics, 2004, 211(3): 195-207. |
8 | YerraM, NasipuriA, DuemmlerH. Sequential state logic for pneumatic valve monitoring using piezo film sensors[C]// SoutheastCon. IEEE, 2017: 1-8. |
9 | 林伟国, 吴石恩. 阀门内漏声波监测及其信号特征提取方法[J]. 振动与冲击, 2018, 37(9): 120-126. |
LinW G, WuS E. Acoustic monitor and signal feature extraction for valve internal leakage [J]. Journal of Vibration and Shock, 2018, 37(9): 120-126. | |
10 | 王超, 凌志浩, 林琦彬. 无线阀门泄漏变送器的设计[J]. 仪器仪表学报, 2010, 31(8): 75-79. |
WangC, LingZ H, LinQ B. Design of wireless valve leakage transmitter[J].Chinese Journal of Scientific Instrument, 2010, 31(8): 75-79. | |
11 | 刘贵杰, 徐萌, 王欣, 等. 基于HHT的管道阀门内漏声发射检测研究[J]. 振动与冲击, 2012, 31(23): 62-66. |
LiuG J, XuM, WangX, et al. AE detection for pipeline valve leakage based on HHT [J]. Journal of Vibration and Shock, 2012, 31(23): 62-66. | |
12 | 宗福兴, 税爱社, 汪辉, 等. 基于CCA和WT的油库阀门内漏声发射信号去噪 [J]. 仪器仪表学报, 2014, 35(9): 2004-2011. |
ZongF X, ShuiA S, WangH, et al. Denoising method for acoustic emission signal in oil depot internal valve leakage inspection based on CCA and WT [J]. Chinese Journal of Scientific Instrument, 2014, 35(9): 2004-2011. | |
13 | ZhangH F, LiZ L, JiZ L, et al. Intelligent leak level recognition of gas pipeline valve using wavelet packet energy and support vector machine model [J]. Insight: Non-Destructive Testing and Condition Monitoring, 2013, 55(12): 670-674. |
14 | BalandaK, MacgillivrayH L. Kurtosis: a critical review [J]. American Statistician, 1988, 42(2): 111-119. |
15 | GuoM, LinW G, WuH Y, et al. An early-warning method for agglomeration detection in gas-solid fluidized bed based on hydromechanics [J]. Applied Mechanics & Materials, 2013, 387: 152-158. |
16 | TaxD M J, DuinR P W. Support Vector Data Description [M]. Kluwer Academic Publishers, 2004. |
17 | SmolaA J, SchölkopfB, MüllerK R. The connection between regularization operators and support vector kernels [J]. Neural Network, 1998, 11(4): 637-649. |
18 | 毛荣富, 朱海潮, 何琳, 等. 一种基于SVDD的舰船机械特征选取新方法[J]. 振动与冲击, 2008, 27(4): 101-104. |
MaoR F, ZhuH C, HeL, et al. A new feature selection method for machines on shipboard based on support vector data description [J]. Journal of Vibration and Shock, 2008, 27(4): 101-104. |
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