Performance degradation data based NC rotary table reliability predictions using a single sample

ZHANG Yun; YU Guang; WANG Liping; JIANG Nan

doi:10.16511/j.cnki.qhdxxb.2019.22.049

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Journal of Tsinghua University(Science and Technology) ›› 2020, Vol. 60 ›› Issue (4) : 299-305. DOI: 10.16511/j.cnki.qhdxxb.2019.22.049

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Performance degradation data based NC rotary table reliability predictions using a single sample

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Abstract

Reliability evaluations of numerical control (NC) rotary tables are limited by their good reliability, long lives and few samples. This paper presents a reliability evaluation method based on performance degradation data for NC rotary tables. The test data is expanded by measuring the performance degradation of a rotary table at different angles to calculate a pseudo-life for the rotary table. The accuracy of the rotary table reliability evaluation is improved using the virtual augmentation principle to expand the test data with the virtual augmented samples analyzed mathematically. The results show that this method can be used to determine various reliability indexes such as the reliability, failure distribution density function and predicted average life of NC rotary tables. This method significantly reduces the test costs and time.

Key words

numerical control (NC) rotary table / single sample / performance degradation data / virtual augmentation / reliability

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ZHANG Yun, YU Guang, WANG Liping, JIANG Nan. Performance degradation data based NC rotary table reliability predictions using a single sample[J]. Journal of Tsinghua University(Science and Technology). 2020, 60(4): 299-305 https://doi.org/10.16511/j.cnki.qhdxxb.2019.22.049

References

[1] LU C J, MEEKER W Q. Using degradation measures to estimate a time-to-failure distribution[J]. Technometrics, 1993, 35(2):161-174.
[2] NELSON W. Analysis of performance-degradation data from accelerated tests[J]. IEEE Transactions on Reliability, 1981, R-30(2):149-155.
[3] MEEKER W Q, ESCOBAR L A, LU C J. Accelerated degradation tests:Modeling and analysis[J]. Technometrics, 1998, 40(2):89-99.
[4] CHEN Z H, ZHENG S R. Lifetime distribution based degradation analysis[J]. IEEE Transactions on Reliability, 2005, 54(1):3-10.
[5] 陈振珩, 刘雨时. 基于性能退化数据可靠性评定的常用模型研究[J]. 电子测量与仪器学报, 2008, 22(S1):22-25. CHEN Z H, LIU Y S. Ecumenical model of reliability evaluation based on performance degradation data[J]. Journal of Electronic Measurement and Instrument, 2008, 22(S1):22-25. (in Chinese)
[6] 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 X, LIU H Z, LIU L L, et al. Extremely small-scale sample's reliability of an electric spindle based on distribution of false lifetime[J]. Journal of Vibration and Shock, 2013, 32(19):80-85. (in Chinese)
[7] 马小兵, 王晋忠, 赵宇. 基于伪寿命分布的退化数据可靠性评估方法[J]. 系统工程与电子技术, 2011, 33(1):228-232. MA X B, WANG J Z, ZHAO Y. Reliability assessment using constant-stress accelerated degradation data based on pseudo life distribution[J]. Systems Engineering and Electronics, 2011, 33(1):228-232. (in Chinese)
[8] 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 A M, CHEN X, ZHANG C H, et al. Reliability assessment based on performance degradation data[J]. Journal of Astronautics, 2006, 27(3):546-552. (in Chinese)
[9] 赵宇. 可靠性数据分析[M]. 北京:国防工业出版社, 2011. ZHAO Y. Data analysis of reliability[M]. Beijing:Nation Defense Industry Press, 2011. (in Chinese)
[10] 黄玮. 机构可靠性分析方法研究[D]. 西安:西北工业大学, 2005. HUANG W. Research on reliability analysis method of mechanisms[D]. Xi'an:Northwestern Polytechnical University, 2005.(in Chinese)
[11] 方亚. 机械产品可靠性评估方法研究[D]. 西安:西北工业大学, 2007. FANG Y. Research on reliability assessment method of mechanical products[D]. Xi'an:Northwestern Polytechnical University, 2007. (in Chinese)
[12] 黄玮, 冯蕴雯, 吕震宙. 极小子样试验的虚拟增广样本评估方法[J]. 西北工业大学学报, 2005, 23(3):384-387. HUANG W, FENG Y W, LV Z Z. Virtually expanded sample estimation method for extremely small-scale sample test[J]. Journal of Northwestern Polytechnical University, 2005, 23(3):384-387. (in Chinese)
[13] 张云, 姜楠, 王立平. 基于Wiener过程的数控转台极小子样可靠性分析[J]. 清华大学学报(自然科学版), 2019, 59(2):91-95. ZHANG Y, JIANG N, WANG L P. Reliability analysis of NC rotary table based on a Wiener process for extremely small samples[J]. Journal of Tsinghua University (Science and Technology), 2019, 59(2):91-95. (in Chinese)
[14] 茆诗松. 统计手册[M]. 北京:科学出版社, 2003. MAO S S. Statistics handbook[M]. Beijing:Science Press, 2003. (in Chinese)