Please wait a minute...
Chin J Eng Design  2022, Vol. 29 Issue (3): 293-299    DOI: 10.3785/j.issn.1006-754X.2022.00.042
Design Theory and Method     
Lifetime evaluation of semiconductor laser based on dual-variance stochastic process
Jun-xing LI1,2(),Yan-ke LI1,Kai-cen NIU1,Ming QIU1,2(),Zhi-hua WANG3,Xiao-xu PANG1,Li-hai CHEN1
1.School of Mechatronical Engineering, Henan University of Science and Technology, Luoyang 471003, China
2.Advanced Machinery and Equipment Manufacturing Collaborative Innovation Center of Henan, Luoyang 471003, China
3.School of Aeronautic Science and Engineering, Beihang University, Beijing 100083, China
Download: HTML     PDF(970KB)
Export: BibTeX | EndNote (RIS)      

Abstract  

Aiming at the problem of lifetime evaluation for highly reliable and long-life semiconductor lasers, a performance degradation assessment method based on the dual-variance stochastic process was proposed. This method not only considered the inherent randomness of the internal failure mechanism of semiconductor lasers, but also took into account measurement random errors caused by human factors, measuring instruments and so on. Firstly, the performance degradation model of semiconductor laser and the maximum likelihood estimation method for its unknown parameters were established. Then, based on the concept of first arrival, the analytical expressions of failure time distribution function and probability density function were given to evaluate the reliability and lifetime of semiconductor lasers. Finally, the applicability and effectiveness of the proposed method were verified by a semiconductor laser lifetime evaluation engineering example. The results showed that compared with the existing performance degradation model, the constructed model had better fitting effect and could improve the accuracy of lifetime evaluation, which could provide strong support for the optimal maintenance decision-making of the semiconductor laser and its whole system.



Key wordssemiconductor laser      lifetime evaluation      dual-variance stochastic process      performance degradation     
Received: 23 August 2021      Published: 05 July 2022
CLC:  TH 17  
Corresponding Authors: Ming QIU     E-mail: lijunxing@haust.edu.cn;qiuming69@126.com
Cite this article:

Jun-xing LI,Yan-ke LI,Kai-cen NIU,Ming QIU,Zhi-hua WANG,Xiao-xu PANG,Li-hai CHEN. Lifetime evaluation of semiconductor laser based on dual-variance stochastic process. Chin J Eng Design, 2022, 29(3): 293-299.

URL:

https://www.zjujournals.com/gcsjxb/10.3785/j.issn.1006-754X.2022.00.042     OR     https://www.zjujournals.com/gcsjxb/Y2022/V29/I3/293


基于双方差随机过程的半导体激光器寿命评估

针对高可靠、长寿命半导体激光器的寿命评估问题,提出了基于双方差随机过程的性能退化评估方法。该方法不仅考虑了半导体激光器内部失效机理的固有随机性,还考虑了由人为因素、测量仪器等引起的测量随机误差。首先,建立了半导体激光器性能退化模型及其未知参数的极大似然估计方法。然后,基于首达时的概念给出了失效时间分布函数和概率密度函数的解析表达式,以对半导体激光器的可靠性和寿命进行评估。最后,通过半导体激光器寿命评估工程实例验证了所提出方法的适用性和有效性。结果表明:与现有的性能退化模型相比,所构建模型的拟合效果更好,能够提高寿命评估精度。这可为半导体激光器及其整机系统最优维修决策的制定提供有力支撑。


关键词: 半导体激光器,  寿命评估,  双方差随机过程,  性能退化 
Fig.1 Percentage increase of working current of different GaAs lasers at constant output power
Fig.2 Lifetime evaluation process of semiconductor laser
模型未知参数Log-LF值AIC值
μbσbσσeρ
M02.126 90.509 70.067 80.137 60.722 657.89-105.79
M12.126 40.493 20.292 90.045 054.88-101.76
M22.126 80.490 20.319 854.56-103.11
Table 1 Comparison of unknown parameter estimates and fitting effects of different GaAs laser performance degradation models
Fig.3 Average performance degradation curve of GaAs laser fitted by the model M0
Fig.4 Comparison of Q-Q plot of different GaAs laser performance degradation models
模型可靠寿命t0.99/h
M09 053.2
M19 102.5
M29 108.8
Table 2 Reliable lifetime estimation results of GaAs lasers based on different models
Fig.5 Reliability estimation curve of GaAs laser based on model M0
[1]   王立军,宁永强,秦莉,等.大功率半导体激光器研究进展[J].发光学报,2015,36(1):1-19. doi:10.3788/fgxb20153601.0001
WANG Li-jun, NING Yong-qiang, QIN Li, et al. Development of high power diode laser[J]. Chinese Journal of Luminescence, 2015, 36(1): 1-19.
doi: 10.3788/fgxb20153601.0001
[2]   王文知,井红旗,祁琼,等.大功率半导体激光器可靠性研究和失效分析[J].发光学报,2017,38(2):165-169. doi:10.3788/fgxb20173802.0165
WANG Wen-zhi, JING Hong-qi, QI Qiong, et al. Reliability test and failure analysis of high power semicounductor laser[J]. Chinese Journal of Luminescence, 2017, 38(2): 165-169.
doi: 10.3788/fgxb20173802.0165
[3]   张建平,张蓓.基于三参数威布尔函数法的光电器件寿命快速评估模型及其应用[J].电子元件与材料,2021,40(2):137-143. doi:10.14106/j.cnki.1001-2028.2021.1106
ZHANG Jian-ping, ZHANG Bei. Rapid life assessment model of optoelectronic devices based on three-parameter Weibull function method and its applications[J]. Electronic Components and Materials, 2021, 40(2): 137-143.
doi: 10.14106/j.cnki.1001-2028.2021.1106
[4]   LEI Y, LI N, GUO L, et al. Machinery health prognostics: a systematic review from data acquisition to RUL prediction[J]. Mechanical Systems and Signal Processing, 2018, 104: 799-834. doi:10.1016/j.ymssp.2017. 11.016
doi: 10.1016/j.ymssp.2017. 11.016
[5]   GAO H, CUI L, DONG Q. Reliability modeling for a two-phase degradation system with a change point based on a Wiener process[J]. Reliability Engineering & System Safety, 2020, 193: 106601. doi:10.1016/j.ress.2019.106601
doi: 10.1016/j.ress.2019.106601
[6]   聂志强,王明培,孙玉博,等.传导冷却高功率半导体激光器单巴器件CW工作模式下的热加速寿命试验[J].发光学报,2019,40(9):1136-1145. doi:10.3788/fgxb20194009.1136
NIE Zhi-qiang, WANG Ming-pei, SUN Yu-bo, et al. Thermally accelerated aging test of conduction-cooled-packaged high power diode laser bar in CW mode[J]. Chinese Journal of Luminescence, 2019, 40(9): 1136-1145.
doi: 10.3788/fgxb20194009.1136
[7]   袁庆贺,井红旗,张秋月,等.砷化镓基近红外大功率半导体激光器的发展及应用[J].激光与光电子学进展,2019,56(4):040003. doi:10.3788/lop56.040003
YUAN Qing-he, JING Hong-qi, ZHANG Qiu-yue, et al. Development and applications of GaAs-based near-infrared high power semiconductor lasers[J]. Laser & Optoelectronics Progress, 2019, 56(4): 040003.
doi: 10.3788/lop56.040003
[8]   MEEKER W Q, ESCOBAR L A. Statistical methods for reliability data[M]. 2nd ed. New York: John Wiley & Sons, 2021: 254-256.
[9]   MEEKER W, HONG Y, ESCOBAR L. Encyclopedia of statistical sciences[M]. New York: John Wiley & Sons, 2011: 1-27.
[10]   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. doi:10.3321/j.issn:1000-1328.2006.03.044
DEND Ai-min, CHEN Xun, ZHANG Chun-hua, et al. Reliability assessment based on performance degradation data[J]. Journal of Astronautics, 2006, 27(3): 546-552.
doi: 10.3321/j.issn:1000-1328.2006.03.044
[11]   SU C, ZHANG Y. System reliability assessment based on Wiener process and competing failure analysis[J]. Journal of Southeast University (English Edition), 2010, 26(4): 554-557. doi:10.3321/j.issn:1000-1328. 2006.03.044
doi: 10.3321/j.issn:1000-1328. 2006.03.044
[12]   李玲玲,顾训华,李凤强,等.基于GaAs激光器性能退化的可靠性度量方法[J].工程设计学报,2012,19(3):166-169,181. doi:10.3785/j.issn.1006-754X.2012.03.002
LI Ling-ling, GU Xun-hua, LI Feng-qiang, et al. Reliability assessment method based on GaAs laser performance degradation[J]. Chinese Journal of Engineering Design, 2012, 19(3): 166-169, 181.
doi: 10.3785/j.issn.1006-754X.2012.03.002
[13]   徐廷学,王浩伟,张鑫.EM算法在Wiener过程随机参数的超参数值估计中的应用[J].系统工程与电子技术,2015,37(3):707-712. doi:10.3969/j.issn.1001-506X.2015.03.36
XU Ting-xue, WANG Hao-wei, ZHANG Xin. Application of EM algorithm to estimate hyper parameters of the random parameters of Wiener process[J]. Systems Engineering and Electronics, 2015, 37(3): 707-712.
doi: 10.3969/j.issn.1001-506X.2015.03.36
[14]   PENG C Y, TSENG S T. Mis-specification analysis of linear degradation models[J]. IEEE Transactions on Reliability, 2009, 58(3): 444-455. doi:10.1109/tr.2009. 2026784
doi: 10.1109/tr.2009. 2026784
[15]   COX D R, MILLER H D, WEISS G, et al. The theory of stochastic processes[M]. New York: Routledge, 1965: 81-83. doi:10.1063/1.3047872
doi: 10.1063/1.3047872
[16]   MADSEN H. Time series analyses[M]. Boca Raton: Chapman and Hall/CRC, 2007: 103-121.
[17]   TANG S, YU C, WANG X, et al. Remaining useful life prediction of lithium-ion batteries based on the Wiener process with measurement error[J]. Energies, 2014, 7(2): 520-547. doi:10.3390/en7020520
doi: 10.3390/en7020520
[1] PENG Zhong-chao, QI Yuan-jing, SHU Bin, YAN Ke, DUAN Ji-an. Automatic alignment system for laser device packaging based on machine vision[J]. Chin J Eng Design, 2017, 24(6): 687-693,716.
[2] ZHANG Hai-biao, WANG Ai-lun. Research on performance degradation characteristic of combined rotor considering turbine discs creep[J]. Chin J Eng Design, 2016, 23(5): 417-423,452.
[3] LI Ling-Ling, GU Xun-Hua, LI Feng-Qiang, LI Zhi-Gang. Reliability assessment method based on GaAs laser performance degradation[J]. Chin J Eng Design, 2012, 19(3): 166-169.
[4] LIN Rui-Jin, CHEN Wen-Hua, LIU Juan, GAO Liang, PAN Jun. Research on feasibility of accelerated degradation test for aerospace electrical connector[J]. Chin J Eng Design, 2010, 17(4): 317-320.