竞争失效的刀具可靠性评估模型
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摘要
针对突发失效与退化失效在连续生产中同时存在的这种普遍现象,建立突发失效与退化失效相关性,即基于竞争失效的可靠性建模及评估对生产实际进行分析。引入单威布尔分布描述突发失效可靠度模型,对于退化失效采用Wiener过程来描述产品的性能退化轨迹。分别建立独立条件下和相关条件下的竞争失效的可靠性模型,利用信号及功率采集系统和刀具测微仪对连续生产过程的刀具磨损状态和零件质量变化进行监测,将其加工过程的刀具磨损量作为退化指标,分别建立突发失效、退化失效、独立条件下的竞争失效和相关条件下的竞争失效4种可靠度模型,并通过对比分析验证所得模型的有效性。
Considering the sudden failure and degradation failure coexist in a continuous production as a common status,w construct the correlation of sudden failure and degradation failure.It is a reliability modeling and evaluation based on competitive failure,and is used to analyze the production practice.First,a single Weibull distribution is used to describe the model of sudden failure reliability,and Wiener process is used to describe the performance degradation trajectory of the product.Second,the reliability model of competitive failure is established between under independent condition and related condition.The signal,power acquisition system and tool micrometer are used to monitor the tool wear condition in continuous production and part quality change.Eventually,the tool wear quantity of the machining process is used as the degradation index,and the reliability model based on the competitive failure is established,and the validity of the model is verified by comparison.
Considering the sudden failure and degradation failure coexist in a continuous production as a common status,w construct the correlation of sudden failure and degradation failure.It is a reliability modeling and evaluation based on competitive failure,and is used to analyze the production practice.First,a single Weibull distribution is used to describe the model of sudden failure reliability,and Wiener process is used to describe the performance degradation trajectory of the product.Second,the reliability model of competitive failure is established between under independent condition and related condition.The signal,power acquisition system and tool micrometer are used to monitor the tool wear condition in continuous production and part quality change.Eventually,the tool wear quantity of the machining process is used as the degradation index,and the reliability model based on the competitive failure is established,and the validity of the model is verified by comparison.
引文
[1]Saleh J H,Marais K.Highlights from the early(andpre-)history of reliability engineering[J].Reliability Engineering and System Safety,2006,91:249-256.
[2]袁容.基于性能退化分析的可靠性方法研究[D].成都:电子科技大学机械与电气工程学院,2015.Yuan Rong.Research on reliability modeling and analysis methods based on the performance degradation[D].Chengdu:University of Electronic Technology,College of Mechanical and Electrical Engineering,2015.
[3]Yang Chun-bo,Zeng Sheng-kui.Validation metric of degradation model with dynamic performance[J].Journal of Shanghai Jiaotong University(Science),2015,20(3):302-306.
[4]苏春,张恒.基于性能退化数据和竞争失效分析的可靠性评估[J].机械强度,2011,33(2):196-200.Su Chun,Zhang Heng.Reliability assessment based on performance degradation data and competing failure analysis[J].Journal of Mechanical Strength,2011,33(2):196-200.
[5]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 Xiang-yong,Huang Xiao-kai.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.
[6]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.
[7]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):197-205.Wang Hua-wei,Gao Jun,Wu Hai-qiao.Residual remaining life prediction based on competing failures for aircraft engines[J].Journal of Mechanical Engineering,2014,50(6):197-205.
[8]凌丹.威布尔分布模型及其在机械可靠性中的应用研究[D].成都:电子科技大学机械与电气工程学院,2011.Ling Dan.Research on Weibull distribution and its applications in mechanical reliability engineering[D].Chengdu:College of Mechanical and Electrical Engineering,University of Electronic Technology,2011.
[9]Gebraeel Nagi.Sensory-updated residual life distributions for components with exponential degradation patterns[J].Automation Science and Engineering,2006,4(3):382-393.
[10]Leung Chi-sing,Sum John,Constantinides A G.Recurrent networks for compressive sampling[J].2014,129:298-305.
[11]Wang Zhi-hua,Zang Guang-kui.Comparison of two reliability models for performance degradation analysis[J].Journal of Aerospace Power,2015(7):1632-1637.
[12]刘君强,谢吉伟,左洪福,等.基于随机Wiener过程的航空发动机剩余寿命预测[J].航空学报,2015,36(2):564-574.Liu Jun-qiang,Xie Ji-wei,Zuo Hong-fu,et al.Residual lifetime prediction for aeroengines based on Wiener process with random effects[J].Acta Aeronautica et Astronautica Sinica,2015,36(2):564-574.
[13]Huang Jian-lin,Du2an S,Koh Sau,et al.Degradation modeling of mid-power white-light LEDs by using Wiener process[J].Optics Express,2015,23(15):966-978.
[14]刘天宇.基于Wiener过程的铝合金铣削表面精度寿命预测[D].长春:吉林大学机械科学与工程学院,2016.Liu Tian-yu.The prediction of the surface accuracy life of the Aluminum milling base on Wiener process[D].Changchun:College of Mechanical Sciences and Engineering,Jilin University,2016.
[15]彭宝华.基于Wiener过程的可靠性建模方法研究[D].长沙:国防科学技术大学信息系统与管理学院,2010.Peng Bao-hua. Research on reliability modeling methods based on Wiener process[D].Changsha:College of Information Systems and Management,National University of Defense Technology,2010.
[16]Wang X,Zhang Y,Shen G.Degradation model analysis of two-component series and parallel systems[J].Journal of Statistical Computation and Simulation,2017,87(13):1-18.
[17]Xu X,Li Z,Chen N.A hierarchical model for lithium-ion battery degradation prediction[J].IEEE Transactions on Reliability,2016,65(1):310-325.
[18]Tsai C C,Lin C T.Lifetime inference for highly reliable products based on skew-normal accelerated destructive degradation test model[J].IEEE Transactions on Reliability,2015,64(4):1340-1355.
[19]Deng Y,Barros A,Grall A.Degradation modeling based on a time-dependent ornstein-uhlenbeck process and residual useful lifetime estimation[J].IEEE Transactions on Reliability,2016,65(1):126-140.
[20]Wang X.Wiener processes with random effects for degradation data[J].Journal of Multivariate Analysis,2010,101(2):340-351.
[2]袁容.基于性能退化分析的可靠性方法研究[D].成都:电子科技大学机械与电气工程学院,2015.Yuan Rong.Research on reliability modeling and analysis methods based on the performance degradation[D].Chengdu:University of Electronic Technology,College of Mechanical and Electrical Engineering,2015.
[3]Yang Chun-bo,Zeng Sheng-kui.Validation metric of degradation model with dynamic performance[J].Journal of Shanghai Jiaotong University(Science),2015,20(3):302-306.
[4]苏春,张恒.基于性能退化数据和竞争失效分析的可靠性评估[J].机械强度,2011,33(2):196-200.Su Chun,Zhang Heng.Reliability assessment based on performance degradation data and competing failure analysis[J].Journal of Mechanical Strength,2011,33(2):196-200.
[5]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 Xiang-yong,Huang Xiao-kai.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.
[6]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.
[7]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):197-205.Wang Hua-wei,Gao Jun,Wu Hai-qiao.Residual remaining life prediction based on competing failures for aircraft engines[J].Journal of Mechanical Engineering,2014,50(6):197-205.
[8]凌丹.威布尔分布模型及其在机械可靠性中的应用研究[D].成都:电子科技大学机械与电气工程学院,2011.Ling Dan.Research on Weibull distribution and its applications in mechanical reliability engineering[D].Chengdu:College of Mechanical and Electrical Engineering,University of Electronic Technology,2011.
[9]Gebraeel Nagi.Sensory-updated residual life distributions for components with exponential degradation patterns[J].Automation Science and Engineering,2006,4(3):382-393.
[10]Leung Chi-sing,Sum John,Constantinides A G.Recurrent networks for compressive sampling[J].2014,129:298-305.
[11]Wang Zhi-hua,Zang Guang-kui.Comparison of two reliability models for performance degradation analysis[J].Journal of Aerospace Power,2015(7):1632-1637.
[12]刘君强,谢吉伟,左洪福,等.基于随机Wiener过程的航空发动机剩余寿命预测[J].航空学报,2015,36(2):564-574.Liu Jun-qiang,Xie Ji-wei,Zuo Hong-fu,et al.Residual lifetime prediction for aeroengines based on Wiener process with random effects[J].Acta Aeronautica et Astronautica Sinica,2015,36(2):564-574.
[13]Huang Jian-lin,Du2an S,Koh Sau,et al.Degradation modeling of mid-power white-light LEDs by using Wiener process[J].Optics Express,2015,23(15):966-978.
[14]刘天宇.基于Wiener过程的铝合金铣削表面精度寿命预测[D].长春:吉林大学机械科学与工程学院,2016.Liu Tian-yu.The prediction of the surface accuracy life of the Aluminum milling base on Wiener process[D].Changchun:College of Mechanical Sciences and Engineering,Jilin University,2016.
[15]彭宝华.基于Wiener过程的可靠性建模方法研究[D].长沙:国防科学技术大学信息系统与管理学院,2010.Peng Bao-hua. Research on reliability modeling methods based on Wiener process[D].Changsha:College of Information Systems and Management,National University of Defense Technology,2010.
[16]Wang X,Zhang Y,Shen G.Degradation model analysis of two-component series and parallel systems[J].Journal of Statistical Computation and Simulation,2017,87(13):1-18.
[17]Xu X,Li Z,Chen N.A hierarchical model for lithium-ion battery degradation prediction[J].IEEE Transactions on Reliability,2016,65(1):310-325.
[18]Tsai C C,Lin C T.Lifetime inference for highly reliable products based on skew-normal accelerated destructive degradation test model[J].IEEE Transactions on Reliability,2015,64(4):1340-1355.
[19]Deng Y,Barros A,Grall A.Degradation modeling based on a time-dependent ornstein-uhlenbeck process and residual useful lifetime estimation[J].IEEE Transactions on Reliability,2016,65(1):126-140.
[20]Wang X.Wiener processes with random effects for degradation data[J].Journal of Multivariate Analysis,2010,101(2):340-351.
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