[1] LIAO L X, FELIX K. Review of hybrid prognostics approaches for remaining useful life prediction of engineered systems, and an application to battery life prediction[J]. IEEE Transactions on Reliability, 2014, 63(1):191-207.
[2] SI X S, WANG W B, HU C H, et al. Remaining useful life estimation-A review on the statistical data driven approaches[J]. European Journal of Operational Research, 2011, 213:1-14.
[3] 张小丽, 陈雪峰, 李兵, 等. 机械重大装备寿命预测综述[J]. 机械工程学报, 2011, 47(11):100-116. ZHANG X L, CHEN X F, LI B, et al. Review of life prediction for mechanical major equipments[J]. Journal of Mechanical Engineering, 2011, 47(11):100-116(in Chinese).
[4] RAMASSO E, GOURIVEAU R. Remaining useful life estimation by classification of predictions based on neuro-fuzzy system and theory of belief functions[J]. IEEE Transactions on Reliability, 2014, 63(2):555-566.
[5] LOUTAS T H, ROULIAS D, GEORGOULAS G. Remaining useful life estimation in rolling bearings utilizing data-driven probabilistic e-support vectors regression[J]. IEEE Transactions on Reliability, 2013, 62(4):821-832.
[6] LIAO L X. Discovering prognostic features using genetic programming in remaining useful life prediction[J]. IEEE Transactions on Industrial Electrics, 2014, 61(5):2464-2472.
[7] HUANG W, ASKIN R G. Reliability analysis of electronic devices with multiple competing failure modes involving performance aging degradation[J]. Quality and Reliability Engineering International, 2003, 19:241-254.
[8] 谭源源, 张春华, 陈循. 竞争失效场合步进应力加速试验统计分析[J]. 航空学报, 2011, 32(3):429-437. TAN Y Y, ZHANG C H, CHEN X. Analysis of step stress accelerated testing with competing failure modes[J]. Acta Aeronautica et Astronautica Sinica, 2011, 32(3):429-437(in Chinese).
[9] 张祥坡, 尚建忠, 陈循, 等. 三参数Weibull分布竞争失效场合加速寿命试验统计分析[J]. 兵工学报, 2013, 34(12):1603-1610. ZHANG X P, SHANG J Z, CHEN X, et al. Statistical inference of accelerated life test with competing failures based on three-parameter Weibull distribution[J]. Acta Armamentarii, 2013, 34(12):1603-1610(in Chinese).
[10] 罗湘勇, 黄小凯. 基于多机理竞争退化的导弹贮存可靠性分析[J]. 北京航空航天大学学报, 2013, 39(5):701-705. LUO X Y, HUANG X K. Storage reliability analysis of missile based on multi-mechanism competition degradation model[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(5):701-705(in Chinese).
[11] LUO W, ZHANG C H, CHEN X, et al. Accelerated reliability demonstration under competing failure modes[J]. Reliability Engineering and System Safety, 2015, 136:75-84.
[12] PAN Z Q, BALAKRISHNAN N, SUN Q, et al. Bivariate degradation analysis of products based on Wiener processes and Copulas[J]. Journal of Statistical Computation and Simulation, 2013, 83(7):1316-1329.
[13] 张建勋, 胡昌华, 周志杰, 等. 多退化变量下基于Copula函数的陀螺仪剩余寿命预测方法[J]. 航空学报, 2014, 35(4):1111-1121. ZHANG J X, HU C H, ZHOU Z J, et al. Multiple degradation variables modeling for remaining useful life estimation of gyros based on Copula function[J]. Acta Aeronautica et Astronautica Sinica, 2014, 35(4):1111-1121(in Chinese).
[14] 张永进, 孙有朝, 陆中. 基于Copula函数的单冷贮备串联结构可靠性分析[J]. 航空学报, 2014, 35(8):2207-2216. ZHANG Y J, SUN Y C, LU Z. Copula function-based reliability analysis of a series system with a single cold standby unit[J]. Acta Aeronautica et Astronautica Sinica, 2014, 35(8):2207-2216(in Chinese).
[15] WANG X L, BALAKRISHNAN N, GUO B, et al. Residual life estimation based on bivariate non-stationary Gamma degradation process[J]. Journal of Statistical Computation and Simulation, 2015, 85(2):405-421.
[16] 赵建印, 刘芳, 奚文骏. 退化失效与突发失效共存下产品可靠性模型与评估方法研究[J]. 兵工学报, 2011, 32(9):1136-1139. ZHAO J Y, LIU F, XI W J. Reliability model and evaluation method of products in competing failure modes[J]. Acta Armamentarii, 2011, 32(9):1136-1139(in Chinese).
[17] YE Z S, TANG L C, XU H Y. A distribution-based systems reliability model under extreme shocks and natural degradation[J]. IEEE Transactions on Reliability, 2011, 60(1):246-256.
[18] JIANG L, FENG Q, COIT D W. Reliability and maintenance modeling for dependent competing failure processes with shifting failure thresholds[J]. IEEE Transactions on Reliability, 2012, 61(4):932-948.
[19] 王华伟, 高军, 吴海桥. 基于竞争失效的航空发动机剩余寿命预测[J]. 机械工程学报, 2014, 50(6):197-204. WANG H W, GAO J, WU H Q. Residual remaining life prediction based on competing failures for aircraft engines[J]. Journal of Mechanical Engineering, 2014, 50(6):197-204(in Chinese).
[20] WANG Y, PHAM H. Modeling the dependent competing risks with multiple degradation processes and random shock using time-varying Copulas[J]. IEEE Transactions on Reliability, 2012, 61(1):13-22.
[21] ZHANG X P, SHANG J Z, CHEN X, et al. Statistical inference of accelerated life testing with dependent competing failures based on Copula theory[J]. IEEE Transactions on Reliability, 2014, 63(3):764-778.
[22] 徐廷学. 基于定期检测的导弹贮存可靠性研究[J]. 弹箭与制导学报, 2008, 28(1):248-250. XU T X. Study on storage reliability based on periodical test for missile[J]. Journal of Projectiles, Rockets, Missile and Guidance, 2008, 28(1):248-250(in Chinese).
[23] 王浩伟, 徐廷学, 赵建忠. 融合加速退化和现场实测退化数据的剩余寿命预测方法[J]. 航空学报, 2014, 35(12):3350-3357. WANG H W, XU T X, ZHAO J Z. Residual life prediction method fusing accelerated degradation and field degradation data[J]. Acta Aeronautica et Astronautica Sinica, 2014, 35(12):3350-3357(in Chinese).
[24] 孙闯, 何正嘉, 张周锁, 等. 基于状态信息的航空发动机运行可靠性评估[J]. 机械工程学报, 2013, 49(6):30-37. SUN C, HE Z J, ZHANG Z S, et al. Operating reliability assessment for aero-engine based on condition monitoring information[J]. Journal of Mechanical Engineering, 2013, 49(6):30-37(in Chinese).
[25] WANG H W, XU T X, MI Q L. Lifetime prediction based on Gamma processes from accelerated degradation data[J]. Chinese Journal of Aeronautics, 2015, 28(1):172-179.
[26] WANG X, XU D. An inverse Gaussian process model for degradation data[J]. Technometrics, 2010, 52(2):188-197.
[27] NTZOUFRAS I. Bayesian modeling using WinBUGS[M]. New York:John Wiley & Sons, 2009.
[28] RIGAT F, MIRA A. Parallel hierarchical sampling:A general-purpose interacting Markov chains Monte Carlo algorithm[J]. Computational Statistics & Data Analysis, 2012, 56(6):1450-1467.
[29] CHERNICK M R. Bootstrap methods:A guide for practitioners and researchers[M]. New York:John Wiley & Sons, 2011. |