基于性能退化的小子样电主轴可靠性试验研究

摘要/Abstract

摘要： 针对高速电主轴可靠性研究存在的问题，探讨了小子样电主轴性能退化可靠性试验方法，完成了两根170MD18Y16型电主轴的退化试验;依据选定的性能退化特征量和截尾时间，检测了主轴轴端径向跳动量，据此建立试样电主轴退化模型，分析其失效寿命;基于跳动量测试数据和Weibull分布函数，应用修正极大似然函数分析分布参数，得到170MD18Y16型电主轴特征寿命，并确定其寿命分布模型。电主轴寿命理论值与实际使用值基本一致，表明小子样电主轴性能退化试验方法合理，建立的退化模型较准确地反映了电主轴性能退化轨迹，且寿命分布模型分析方法有效。

关键词: 小子样电主轴, 性能退化, 可靠性试验, 轴端跳动量, 退化模型

Abstract: To avoid the disadvantages of reliability analysis on high-speed motorized spindle, a performance degradation reliability test method was proposed herein by two 170MD18Y16 motorized spindles. Firstly, according to the feature quantity and truncated time, a model of small sample motorized spindle was established with shaft end radial run out data to analyze failure life. Secondly, the characteristic life model of 170MD18Y16 motorized spindle was based on the data and Weibull distribution to analyze the distribution parameters by modified maximum likelihood function. Finally, the characteristic life of motorized spindle is consistent with the actual value. The results indicate that the method of performance degradation reliability test is reasonable, and the degradation model may reflect the performance degradation trajectory.

Key words: small sample motorized spindle, performance degradation, reliability test, run out data of shaft end, degradation model

中图分类号:

TH113.1

邱荣华, 巨孔亮, 董友耕, 屈萍鸽, 刘宏昭. 基于性能退化的小子样电主轴可靠性试验研究[J]. 中国机械工程.

Qiu Ronghua, Ju Kongliang, Dong Yougeng, Qu Pingge, Liu Hongzhao. Research on Reliability Test Based on Small Sample Motorized Spindle Performance Degradation[J]. China Mechanical Engineering.

参考文献

[1]邱荣华，刘宏昭.高速电主轴非接触电磁加载装置设计与实现[J].中国机械工程，2014，25(8)：1027-1032.

Qiu Ronghua， Liu Hongzhao.Design and Implement of High Speed Motorized Spindle’s Non-contact Electromagnetic Loading System[J].China Mechanical Engineering，2014，25(8)：1027-1032.

[2]Jayaram J S R, Girish T. Reliability Prediction through Degradation Data Modeling Using a Quasi-Likelihood Approach[J]. Journal of Chemical Technology & Biotechnology, 2005, 85(3): 410-415.

[3]Xu Zhengguo, Ji Yindong, Zhou Donghua. Real-time Reliability Prediction for a Dynamic System Based on the Hidden Degradation Process Identification[J]. IEEE Transactions on Reliability, 2008, 57(2): 230-242.

[4]Xu Zhengguo, Ji Yindong, Zhou Donghua. A New Real-time Reliability Prediction Method for Dynamic Systems Based on On-line Fault Prediction[J]. IEEE Transactions on Reliability, 2009, 58(3): 523-538.

[5]Xu Ancha, Tang Yincai. EM Algorithm for Degradation Data Analysis[J]. Journal of East China Normal University, 2010,10(5): 38-48.

[6]Wang Zhonglai, Huang Hongzhong, Du Li. Reliability Analysis on Competitive Failure Processes under Fuzzy Degradation Data[J]. Applied Soft Computing, 2011, 11(3): 2964–2973.

[7]Zhao Jianyin, Liu Fang. Reliability Assessment of the Metallized Film Capacitors from Degradation Data[J]. Microelectronics Reliability, 2007, 47(2/3): 434-436.

[8]Peng Weiwen, Xiao Zhenlin, Wang Yanyan, et al. A Combined Bayesian Framework for Satellite Reliability Estimation[C]//International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering. Xi'an: IEEE, 2011: 13-21.

[9]朱德馨，刘宏昭.随机性能退化下极小样本高速列车轴承的可靠性评估[J].机械科学与技术，2013，32(10)：1499-1504. Zhu Dexin，Liu Hongzhao.Reliability Evaluation of High-speed Train Bearing Based on Stochastic Performance Deterioration with Minimum Sample[J].Mechanical Science and Technology，2013，32(10)：1499-1504.

[10]朱德馨，刘宏昭.混合Beta分布下高速列车轴承的可靠性寿命评估[J].机械科学与技术，2014，33(5)：763-768.

Zhu Dexin，Liu Hongzhao.Reliability Life Assessment of High-speed Train Bearing in Mixed Beta Distribution[J].Mechanical Science and Technology，2014，33(5)：763-768.

[11]邓爱民，陈循，张春华，等.基于性能退化数据的可靠性评估[J].宇航学报，2006，27(3)：546-552.

Deng Aimin，Chen Xun，Zhang Chunhua，et al.Reliability Assessment Based on Performance Degradation Data[J].Journal of Astronautics，2006，27(3)：546-552.

[12]傅惠民，张勇波.Weibull分布定时无失效数据可靠性分析方法[J].航空动力学报，2010，25(12)：2807-2810.

Fu Huimin，Zhang Yongbo.Method of Reliability Analysis for Time Truncated Zero-failure Data Based on Weibull Distribution[J].Journal of Aerospace Power，2010，25(12)：2807-2810.

[13]金光.小子样条件下航天轴承性能可靠性建模与评估[J].国防科技大学学报，2010，32(1) ：133-137.

Jing Guang.Performance Reliability Modeling and Estimation for Space Bearing under Small Sample Circumstance[J].Journal of National University of Defense Technology，2010，32(1)：133-137.

[14]蒋喜，刘宏昭，刘丽兰，等.基于伪寿命分布的电主轴极小子样可靠性研究[J].振动与冲击，2013，32(19)：80-85.

Jiang Xi，Liu Hongzhao，Liu Lilan，et al.Extremely Small-scale Samples Reliability of an Electric Spindle Based on Distribution of False Lifetime [J]. Vibration and Shock，2013，32(19)：80-85.

[15]兑红娜，孙秦.小子样疲劳试验数据的特征寿命估算方法评估[J].航空工程进展，2013，4(4)：515-521.

Dui Hongna，Sun Qin.Evaluation of Characteristic Life's Estimation Methods for Small Sample Fatigue Test Data[J]. Advances in Aeronautical Science and Engineering，2013，4(4)：515-521.

[16]赵宇.可靠性数据分析[M].北京：国防工业出版社，2011.

[17]刘晗.基于Bayes理论的小子样可靠性评定方法研究[D].长沙：国防科学技术大学，2006.