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基于燃气马力的燃气轮机性能退化 被引量:2

Performance deterioration of gas horsepower-based gas turbines
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摘要 建立了基于热力学功势的燃气马力效率与基于能量平衡的传统部件效率之间的函数关系,并引入燃气马力效率健康因子,对燃气轮机由于发生气路故障导致的性能退化进行了数学建模,采用了小偏差的方法推导出了性能退化系数矩阵,从燃气马力转换性能和传统的效率表示的性能对比、各部件之间的燃气马力效率性能比较、燃气轮机系统燃气马力效率性能这三个方面进行了分析研究.结果表明:燃气马力效率从能量转换为有用功的角度能更好地衡量燃气轮机的性能退化. The relation between the gas horsepower efficiency which based on the thermodynamic work potential and the traditional component efficiency which based on energy balance was founded. The health factors which based on gas horsepower efficiency were imported. The mathematical model of the gas turbine performance deterioration which was due to gas path fault was established by using the gas horsepower efficiency. The performance deterioration matrix was derived by using the small deviation method. The gas horsepower efficiency was contrasted with the traditional efficiency. The gas horsepower efficiency among the components was compared. The gas horsepower efficiency of the gas turbine system was analyzed. The results show that the gas horsepower efficiency can express the gas turbine performance deterioration wonderfully in the point of view of the transfer the stored work potential contained in fuel into useful work.
出处 《华中科技大学学报(自然科学版)》 EI CAS CSCD 北大核心 2009年第12期96-99,共4页 Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金 "十一五"国防预研项目(4010102010504)
关键词 燃气轮机 热力学功势 燃气马力 性能 退化 健康因子 gas turbine thermodynamic work potential gas horsepower performance deterioration health factor
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参考文献7

  • 1Kurz R, Brun K. Degradation in gas turbine systems [J]. Transactions of the ASME, 2001, 123(1): 70- 77.
  • 2Yoon J E, Lee J J, Kim T S, et al. Analysis of performance deterioration of a micro gas turbine and the use of neural network for predicting deteriorated component characteristics[J]. Journal of Mechanical Science and Technology, 2008, 22(12): 2 516-2 525.
  • 3Benjalool A A. Evaluation of performance deterioration on gas turbines due to compressor fouling[D]. Cranfield: Cranfield University, 2006.
  • 4贺星,孙丰瑞,刘永葆,周密.基于热力学第二定律的燃气轮机故障性能研究[J].燃气轮机技术,2009,22(1):29-32. 被引量:1
  • 5贺星,孙丰瑞,张仁兴.基于推力功势的航空燃气轮机故障性能研究[J].航空动力学报,2009,24(9):2091-2095. 被引量:2
  • 6Roth B A. A theoretical treatment of technical risk in modern propulsion system design[D]. Atlanta: Georgia Institute of Technology, 2000.
  • 7Roth B A. A work potential perspective of engine component performance [ C] // The 37th AIAA/ ASME/SAE/ASEE JPC Conference and Exhibit. Salt Lake City: AIAA, 2001.

二级参考文献6

  • 1Roth B A. A Theoretical Treatment of Technical Risk in Modem Propulsion System Desing[ D]. Ph.D. Thesis, Georgia Instiute of Technology, March, 2000:23 - 98.
  • 2Urban L A. Gas Path Analysis Applied to Tttrbine Engine Condition Monitoring[ J]. AIAA, 1972,10(7) :400 - 406.
  • 3Urban L A. Parameter Selection for Multiple Fault Diagnosis of Gas Turbine Engines[ J]. ASME Journal of Engineering for Power, 1975:225 - 230.
  • 4Roth B A. A Work Potential Perspective of Engine Component Performance [ J]. AIAA, 2001 - 3300.
  • 5陈林根,吴晏,孙丰瑞.燃气轮机循环有限时间热力学分析:理论和应用[J].燃气轮机技术,2001,14(1):46-47. 被引量:19
  • 6余又红,孙丰瑞,张仁兴.燃气轮机实际简单循环熵产分析[J].海军工程大学学报,2002,14(5):88-91. 被引量:8

共引文献1

同被引文献20

  • 1余又红,王义,孙丰瑞,张仁兴.舰用中冷回热燃气轮机装置动态性能分析[J].海军工程大学学报,2007,19(1):81-85. 被引量:2
  • 2黄荣华,贾省伟,梁前超,王兆文.双轴燃气轮机动态仿真模型研究[J].华中科技大学学报(自然科学版),2007,35(4):92-95. 被引量:2
  • 3DIAKUNCHAK I S. Performance degradation in industrial gas turbines [J]. Journal of Engineering for Gas Tur- bines Power, 1992,114:161-168.
  • 4LI Y G. Gas turbine performance and health status estimation using adaptive gas path analysis [J]. Journal of Engi neering for Gas Turbines Power, 2010,132(4) : 1- 9.
  • 5YOON J E, LEE J J, KIM T S, et al. Analysis of performance deterioeration of a micro gas turbine and the use of neural network for prediction deteriorated component characteristics [J]. Journal of Mechanical Science and Technology, 2008,22(12) :2516-2525.
  • 6NAEEM M. Impacts of low-pressure (LP) compressorsts fouling of a turbofan upon operational-effectiveness of a military aircraft [J]. Applied Energy, 2008,85 (4) : 243- 270.
  • 7BEHBAHANI A. SEMEGA K. Sensing Challenges for Controls and PHM in the Hostile Operating Conditions of Modern Turbine Engine [R]. Wright-Patterson.. Air Force Research Laboratory, 2008.
  • 8KAMBOUKOS P, MATHIOUDAKIS K. Comparison of linear and nonlinear gas turbine performance diagnostics[J]. Journal of Engineering for Gas Turbine and Power, 2005,127(1):49-56.
  • 9何远令.GT25000燃气轮机燃油控制系统仿真[D].武汉:海军工程大学,2009.
  • 10DIAKUNCHAK I S. Performance degradation in industrial gas turbines [J]. Journal of Engineering for Gas Turbines Power, 1992 ,114 :161-168.

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