摘要
针对传统的信号处理方法较难获取行星齿轮箱故障特征和有量纲指标在变工况情况下诊断失效的问题,提出将无量纲指标应用于行星齿轮箱故障诊断的方法。首先分别计算行星齿轮箱在不同故障模式下振动信号的七个无量纲指标,然后用遗传编程的方法构建新的复合诊断指标,最后将该复合诊断指标在变载荷、变转速工况下对不同的故障模式进行区分。实验结果表明,该方法可以识别行星齿轮箱在不同工况下的故障状态,验证了其有效性。
Due to the difficulty of obtaining the fault characteristics of the planetary gearbox through the traditional signal processing methods and the failure of the dimension parameters in the case of variable working condition,a method based on dimensionless parameters is proposed for the fault diagnosis of planetary gearboxes.First of all,seven dimensionless parameters in different failure modes are calculated,and the genetic programming is used to construct a new hybrid diagnostic parameter.Then,the hybrid diagnostic parameter is used to distinguish the different failure modes under the condition of variable load and variable speed.Experimental results show that,this method can identify the fault state of the planetary gearboxes under different working conditions.The validity of this method is verified.
作者
胥永刚
马伟峰
马朝永
付胜
XU Yong-gang;MA Wei-feng;MA Chao-yong;FU Sheng(Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology,Beijing 100124, China)
出处
《噪声与振动控制》
CSCD
2017年第4期175-179,共5页
Noise and Vibration Control
基金
国家自然科学基金资助项目(51375020)
北京市优秀人才培养资助项目(2011D005015000006)
关键词
振动与波
行星齿轮箱
遗传编程
无量纲指标
复合诊断指标
模式识别
vibration and wave
planetary gearbox
genetic programming
dimensionless parameters
hybrid diagnostic parameter
pattern recognition
