期刊文献+

直升机减速器故障齿轮振动信号特征研究 被引量:3

Research on Vibration Signal Feature of Helicopter Gearbox's Fault Gear
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摘要 开展直升机减速器故诊断研究需要通过大量费用高昂的实验获取典型故障的信号特征。为降低实验费用,提出一种基于软件仿真获取直升机减速器故障齿轮时域信号特征的方法。仿真结果表明,采用该方法可以模拟减速器可能产生的振动信号。振动信号统计分析结果表明,可以通过振动信号的时域特征参数对故障的类型进行判断。 Plenty of expensive experiments are needed to get the signal feature of helicopter gearbox' s fault gear, which is the requirement of helicopter gearbox' s fault diagnosis. A method of extracting signal feature of fault gear based on simulation is proposed. Simulation results show that the feature of vibration signal caused by fault gear can be obtained with this method. Statistic results of vibration signal show that the judgment of fault style can be determined with its time domain feature.
出处 《长沙航空职业技术学院学报》 2007年第3期36-39,共4页 Journal of Changsha Aeronautical Vocational and Technical College
关键词 故障诊断 直升机减速器 信号特征 fault diagnosis helicopter gearbox signal feature
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  • 2[2]Gangguli R.,Chopra I.,and Hass D.J,Helicopter Rotor System Health Monitoring Using Numerical Simulation and Neural Networks,the 53rd AHS Annual forum,April 29-May 1,1997.
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同被引文献24

  • 1朱定金.直升机减速器齿轮疲劳寿命评定方法[J].直升机技术,2007(2):20-23. 被引量:3
  • 2沈国际,陶利民,陈仲生.减速器振动信号的经验模态分解[J].航空学报,2005,26(1):62-65. 被引量:3
  • 3王新峰,邱静,刘冠军.基于离散粒子群优化算法的直升机减速器齿轮故障特征选择[J].航空动力学报,2005,20(6):969-972. 被引量:6
  • 4Victor Girondin, Komi Midzodzi Pekpe, Herve. Bear- ings ault detection in helico-pters using frequency read- justment and cyclostationary analysis[J]. Mechanical Sysytems and Signal processing, 2013 (38) : 499-514.
  • 5Victor Girondin, Komi Midzodzi Pekpe, Herve Morel. Bearings fault detection in helicopters using frequency readjustment and cyclostationary analysis[J]. Mechani- cal Systems and Signal Processing, 2013,38 ~ 499-514.
  • 6Rosmaini Ahmad, Shahrul Kamaruddin. An overview of time-based and condition-based maintenancein indus- trial application[J]. Computers ~ Industrial Engineer- ing, 2012,63 .. 135-149.
  • 7Van Tung, Tran, Bo-Suk Yang. An intelligent condi tion-based maintenance p[at{orm {or rotating machin ery[J]. Expert Systems with Applications, 2012,39 2977-2988.
  • 8Sikorska J Z, Hodkiewicz M, MA Lin. Prognostic model- ling options for remaining useful life estimation by indus- try[J]. Mechanical Systems and Signal Processing, 2011, 25(5) :1803-1836.
  • 9Heng Aiwina, ZHANG Sheng, Andy C C. Rotating ma- chinery prognostics:state of the art,challenges and oppor- tunities[J]. Mechanical Systems and Signal Processing, 2009,23(3) : 724-739.
  • 10Jardine A K S,LIN Daming. A review on machinery diag- nostics and prognostics implementing condition-based ma- intenance[J]. Mechanical Systems and Signal Processing, 2006,20(7) : 1483-1510.

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