Research on Fault Diagnosis Method of Heat Pipe Network

Abstract:

The urban heat pipe network fault diagnosis was studied in this paper. According to differential equations and boundary conditions, the author deduces the function relations between pressure and flow in unsteady flow. On the base of above investigations, a heat pipe network leak pipeline diagnosis method and a leak positioning method are proposed here, the pipeline alarm valve ε0 and the leak alarm valve εF are designed. We can judge whether heat pipe network leaks or not through the law of flow conservation, and search out the leak pipeline by judging the size relation of pressure drop, ε1 and ε0, before and after pipeline leaks. It then locates the leak point by judging the size relation of ε2 and εF before and after the pipeline leaks. Moreover, the location accuracy is 5%.

• Periodical: Advanced Materials Research (Volumes 550-553)
• Pages: 3155-3159
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.550-553.3155
• Online since: July 2012
• Authors: Yu Kun Lv, Hai Feng Liu, Bao Jun Song, Kai Zhao
• Keywords: Accuracy, Fault Diagnosis, Heat Pipe Network, Leak

References

[1] Alan T. Murray, Daoqin Tong. GIS and spatial analysis in the media[J]. Applied geography, 2009, (29): 250-259

DOI: 10.1016/j.apgeog.2008.09.002

[2] O.Mark, C.Wennberg, T.van Kalken, et al. Risk analyses for sewer systems based on numerical modeling and GIS[J]. Safety Science, 1998, (30): 99-106

DOI: 10.1016/s0925-7535(98)00036-8

[3] Fan Wenyou, Xie Banghua, Meng Xin. Study of integrated oil-field pipelines network system based on GIS spatial data sharing platform[C]. ICPTT 2009, shanghai, 2009: 1113-1121

DOI: 10.1061/41073(361)118

[4] Carol.Baker, Margaret Dein Bradley, Sofia M.Kaczor Bobiak. Wellhead protection area delineation: linking flow model with GIS[J]. Journal of Water Resources Planning and Management, 1993, 119(2): 275-287

DOI: 10.1061/(asce)0733-9496(1993)119:2(275)

[5] Reichardt T A, Einfeld W. Review of Remote Detection for Natural Gas Transmission Pipeline leaks[M]. California, USA: Sandia National Laboratory, 2002: 268-306

[6] Hongtao Gao, Juan Du, Mo Tang, et al. Research on a new type peristaltic micro in-pipe robot[C]. ICCME 2011, Hangzhou, 2011: 26-30

[7] Congqi Xu, Xuhui Xie, Yifan Dai. Kinetic drag force analysis of micro in-pipe robot[C]. Intelligent Vehicles Symposium, 2009 IEEE: 641-645

DOI: 10.1109/ivs.2009.5164352

[8] Zhao Yuxia, He Guangping, Gao Dewen. Micro in-pipe robot mechanical structure design of Shape Memory Alloy driving[C]. IEEE2009, Beijing, 2009: 360-365

[9] Ingimundarson A, Stefanopoulou A G, McKay D A. Model-Based Detection of Hydrogen leaks in a Fuel Cell Stack[J]. IEEE Control Systems Society, 2008, 16(5): 1004-1012

DOI: 10.1109/tcst.2007.916311

[10] Lopes dos Santos P, Azevedo-Perdicou, Ramos J A, et al. An LPV Modeling and Identification Approach to Leakage Detection in High Pressure Natural Gas Transportation Networks[J]. IEEE Control Systems Society, 2011, 19(1): 77-79

DOI: 10.1109/tcst.2010.2077293

[11] Junhua Li, Wenbai Liu, Zhaochen Sun, et al. A new failure detection method and its application in leak monitor of pipeline[C]. ICARCV2008, Shanghai, 2008: 1178-1182

[12] Zhao Jiang, Hao Chongqing, Zhao Yingbao, et al. Research on Crude Oil Pipeline Leakage Detection and Location Based on Information Fusion[C]. ETCS2009, Wuhan, 2009: 201-204

DOI: 10.1109/etcs.2009.571

[13] Zhang Yu, Liu Jian, Zeng Zhoumo. A combined kalman filter-Discrete wavelet transform method for leakage detection of crude oil pipelines[C]. ICEMI 2009, Shanghai, 2009: 1086-1090

DOI: 10.1109/icemi.2009.5274381

[14] Daneti M. On using phase date information for pipeline leak location[C]. IEEEI 2008, Israel, 2008: 494-498

[15] Yang Jiao, Guanghai Li, Guangkai Sun, et al. Study on leak location technology for buried gas pipeline[C]. ICWAPR 2009, Hebei, 2009: 492-495

[16] Sandsten J. Gas Visualization Technology Provides Efficient Leak Detection[J]. Offshore, 2002, 62(3): 94-98