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基于声发射信号的柴油机排气阀故障诊断试验研究 被引量:2

Experimental Research on Fault Diagnosis for Exhaust Valve of Diesel Engines Based on Acoustic Emission Signals
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摘要 气阀的撞击和气体压力的冲击均会产生声发射信号,声发射信号的频率范围宽,信息量丰富,在无损检测领域已得到了广泛应用,将声发射传感器引入柴油机排气阀的故障监测诊断中,以WP10.240N型柴油机为研究对象,搭建试验测试平台,模拟3种类型的排气阀故障,通过试验研究了柴油机气阀在不同状态下声发射信号特征,提取了与排气阀故障相关的特征参数,探索了基于声发射信号的柴油机气阀故障诊断的可行性。 Acoustic emission signal occurs due to impact of valves opening and closing and impulse of cylinder pressure,which is characterized by a broad range of frequency and rich information about functioning and condition of diesel engines.Therefore,it has been used as a nondestructive examination method.In this work,three exhaust valve artificial fault experiments are conducted in a test platform of WP10.240N diesel engine in order to investigate the feasibility of monitoring the condition of exhaust valve of a diesel engine based on acoustic emission signals,the characteristics of the acoustic emission signals are extracted.It is shown that acoustic emission signals are sensitive and feasible to exhaust valve conditions.
出处 《武汉理工大学学报》 CAS CSCD 北大核心 2011年第8期62-67,共6页 Journal of Wuhan University of Technology
基金 国家自然科学基金(51009112)
关键词 排气阀 故障诊断 声发射 exhaust valve diagnosis acoustic emission
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参考文献9

  • 1Ronnie K Miller,Paul Mclntire eds. Acoustic Emission Testing, Nondestructive Testing Handbook [ M].[S. l. ]: Ameri- can Society for Nondestructive Testing,1987.
  • 2El-Ghamry M H, Reuben R L, Steel J A. The Development of Automated Pattern Recognition and Statistical Feature Iso- lation Techniques for the Diagnosis of Reciprocating Machinery Faults Using[J]. Mechanical Systems and Signal Pro- cessing, 2003,17 (4) : 805-823.
  • 3Douglas R M,Steel J A,Fog T L. On-line Power Estimation of Large Diesel Engines Using Acoustic Emission and Instan- taneous Crankshaft Angular Velocity[J]. International Journal of Engine Research,2006,7(5) :399-410.
  • 4杨建国.高速柴油机气门漏气故障的振动诊断[J].航海技术,1997(6):41-44. 被引量:3
  • 5Fathi-Elamin, Fan Y, Gu F,et al. Detection of Diesel Engine Valve Clearance by Acoustic Emission [C]// Proceedings of Computing and Engineering Annual Researchers' Conference. Huddersfield: University of Huddersfield, 2009: 7-13.
  • 6Douglas R M, Steel J A, Reuben R L. A Study of the Tribological Behaviour of Piston Ring/Cylinder Liner Interaction in Diesel Engines Using Acoustic Emission[J]. Tribology International,2006,39(12) :1634-1642.
  • 7沈功田,耿荣生,刘时风.声发射信号的参数分析方法[J].无损检测,2002,24(2):72-77. 被引量:185
  • 8耿荣生,沈功田,刘时风.基于波形分析的声发射信号处理技术[J].无损检测,2002,24(6):257-261. 被引量:56
  • 9赵洪宝,尹光志.含瓦斯煤声发射特性试验及损伤方程研究[J].岩土力学,2011,32(3):667-671. 被引量:25

二级参考文献17

  • 1谭学术,鲜学福,张广洋,桂云贵,许江.煤的渗透性研究[J].西安矿业学院学报,1994,14(1):22-25. 被引量:51
  • 2徐东强.采场围岩沿结构面滑移破坏时的声发射特征[J].金属矿山,1996,25(1):22-25. 被引量:6
  • 3石必明,刘健,俞启香.型煤渗透特性试验研究[J].安徽理工大学学报(自然科学版),2007,27(1):5-8. 被引量:12
  • 4周世宁.煤层瓦斯流动与赋存理论[M].北京:煤炭工业出版社,1990.
  • 5[1]Heiple CR, Carpenter SH. Acoustic Emission[M].Mathiews JR,ed New York:1981.
  • 6[2]Miller Ronnie K, Mclntire Paul, eds. Nondestructive Testing Handbook(Vo1. 5) Acoustic Emission Testing[M]. Second edition, Columbus: American Society for Nondestructive Testing, 1987.
  • 7[3]ASTM E1316-1996, Standard Terminology for Non destructive Examinations[S].
  • 8[4]Pollock AA. Acoustic emission distribution[A]. In ternational Advances in Nondestructive Testing (Vcl.7)[R]. 1981. 215-239.
  • 9[5]Stockbridge Scott, Hoffman Jeff. Analysis of acoustic emission data from metal pressure vessel by weighing of data attributes including MONPAC criteria [A ].Progress in Acoustic Emission Ⅶ [C]. Japan: The Japanese Society for NDI, 1994.
  • 10耿荣生.声发射信号的波形分析技术.中国第八届声发射学术讨论会论文集[M].上海,1999,6.146-152.

共引文献248

同被引文献23

  • 1余永华,杨建国.船舶柴油机数字化监测与诊断系统[J].船舶工程,2007,29(2):81-84. 被引量:11
  • 2Fathi-Elamin, Y. Fan, E Gu. Detection of Diesel Engine Valve Clearance by Acoustic Emission[C]//Proceedings of Computing and Engineering Annual Researchers Conference, 2009.
  • 3J Z Sikorska, D Mba. Challenges and Obstacles in the Application of Acoustic Emission to Process Machinery[J]. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 2008, 222(1): 1-19.
  • 4T. L. Fog, L, K. Hansen, J. Larsen, et al. On condition Monitoring of Exhaust Valves in Marine Diesel Engines [C]//Neural Networks for Signal Processing IX, Proceedings of the 1999 IEEE Signal Processing Society Workshop, 1999.
  • 5M. H. E1-Ghamry, R. L. Reuben, J. A. Steel. The Development of Automated Pattern Recognition and Statistical Feature Isolation Techniques for the Diagnosis of Reciprocation Machinery Faults using Acoustic Emission [J]. Mechanical Systems and Signal Processing, 2003, 17(4): 805-823.
  • 6纪鹏飞.柴油机气阀漏气声发射诊断方法研究[D].武汉:武汉理工大学,2012.
  • 7卢东升.基于声发射信号的柴油机排气阀故障诊断技术研究[D].武汉:武汉理工大学,2011.
  • 8Jang Kyu Kim, Min Cheol Lee. Real-time Diagnostic Using Acoustic Emission for a Cylinder Liner in a Large Two-stroke Diesel Engine[J]. International Journal of Precision Engineering and Manufacturing, 2009, 10(3): 51-58.
  • 9Huang, Norden E. New Method for Nonlinear and Nonstationary Time Series Analysis: Empirical Mode Decomposition and Hilbert Spectral Analysis [C]// Proceedings of SPIE-The International Society for Optical Engineering, 2000.
  • 10曹国豪,余永华,杨建国.基于单片机系统的船用柴油机示功图测量系统研制[J].船海工程,2010,39(1):84-87. 被引量:7

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