Degradation Reliability Analysis Based on TOPSIS Model Selection Method
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摘要
It is necessary to determine the degradation path model of products at first when using the method based on degradation path model to evaluate the degradation reliability of products.At present,the degradation path model is mainly determined by scatter plots of degradation data.However,this method has strong subjectivity and is liable to cause the evaluation results to be inconsistent with the actual situation.In this paper,a degradation reliability analysis method based on TOPSIS(technique for order preference by similarity to an ideal solution)model selection is proposed,and its implementation process is given.The optimal degradation path model is selected according to the calculated proximity.With the help of TOPSIS method,various degradation path models can be selected and quantified,and the original degradation path method can be improved to avoid the risk of errors in product reliability evaluation caused by inaccurate subjective hypothesis,so as to ensure the objectivity and accuracy in the process of model determination.The validity and practicability of the proposed method are verified by the degradation analysis of the injector of a certain type of diesel engine.
It is necessary to determine the degradation path model of products at first when using the method based on degradation path model to evaluate the degradation reliability of products.At present,the degradation path model is mainly determined by scatter plots of degradation data.However,this method has strong subjectivity and is liable to cause the evaluation results to be inconsistent with the actual situation.In this paper,a degradation reliability analysis method based on TOPSIS(technique for order preference by similarity to an ideal solution)model selection is proposed,and its implementation process is given.The optimal degradation path model is selected according to the calculated proximity.With the help of TOPSIS method,various degradation path models can be selected and quantified,and the original degradation path method can be improved to avoid the risk of errors in product reliability evaluation caused by inaccurate subjective hypothesis,so as to ensure the objectivity and accuracy in the process of model determination.The validity and practicability of the proposed method are verified by the degradation analysis of the injector of a certain type of diesel engine.
It is necessary to determine the degradation path model of products at first when using the method based on degradation path model to evaluate the degradation reliability of products.At present,the degradation path model is mainly determined by scatter plots of degradation data.However,this method has strong subjectivity and is liable to cause the evaluation results to be inconsistent with the actual situation.In this paper,a degradation reliability analysis method based on TOPSIS(technique for order preference by similarity to an ideal solution)model selection is proposed,and its implementation process is given.The optimal degradation path model is selected according to the calculated proximity.With the help of TOPSIS method,various degradation path models can be selected and quantified,and the original degradation path method can be improved to avoid the risk of errors in product reliability evaluation caused by inaccurate subjective hypothesis,so as to ensure the objectivity and accuracy in the process of model determination.The validity and practicability of the proposed method are verified by the degradation analysis of the injector of a certain type of diesel engine.
引文
[1]GU Y K.Reliability analysis and risk assessment for diesel engine[M].Beijing:Tsinghua University Press,2012(in Chinese).
[2]LEE H M,WU J W,LEI C L.Assessing the lifetime performance index of exponential products with stepstress accelerated life-testing data[J].IEEE Tra-nsactions on Reliability,2013,62(1):296-304.
[3]CHEN J,ZIO E,LI J,et al.Accelerated life test for reliability evaluation of pneumatic cylinders[J].IEEE Access,2018,6:75062-75075.
[4]WANG Y P,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.
[5]JIANG X,LIU H Z,LIU L L,et al.Extremely smallscale 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).
[6]SUN Q,KVAM P H.Multi-cause degradation path model:A case study on rubidium lamp degradation[J].Quality and Reliability Engineering International,2011,27(6):781-793.
[7]HU Y T,FAN J S,HU C H.Modeling degradation path using v-support vector regression[J].Systems Engineering and Electronics, 2017,39(1):231-236(in Chinese).
[8]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]LU C J,MEEKER W O.Using degradation measures to estimate a time-to-failure distribution[J].Technometrics,1993,35(2):161-174.
[10]BAGDONAVICIUS V,HAGHIGHI F,NIKULIN M.Statistical analysis of general degradation path model and failure time data with multiple failure modes[J].Communications in Statistics-Theory and Methods,2005,34(8):1771-1791.
[11]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(Sup.2):22-25(in Chinese).
[12]BEHZADIAN M,OTAGHSARA S K,YAZDANI M,et al.A state-of the-art survey of TOPSIS applications[J].Expert Systems with Applications, 2012,39(17):13051-13069.
[13]LIN M C,WANG C C,CHEN M S,et al.Using AHP and TOPSIS approaches in customer-driven product design process[J].Computers in Industry,2008,59(1):17-31.
[2]LEE H M,WU J W,LEI C L.Assessing the lifetime performance index of exponential products with stepstress accelerated life-testing data[J].IEEE Tra-nsactions on Reliability,2013,62(1):296-304.
[3]CHEN J,ZIO E,LI J,et al.Accelerated life test for reliability evaluation of pneumatic cylinders[J].IEEE Access,2018,6:75062-75075.
[4]WANG Y P,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.
[5]JIANG X,LIU H Z,LIU L L,et al.Extremely smallscale 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).
[6]SUN Q,KVAM P H.Multi-cause degradation path model:A case study on rubidium lamp degradation[J].Quality and Reliability Engineering International,2011,27(6):781-793.
[7]HU Y T,FAN J S,HU C H.Modeling degradation path using v-support vector regression[J].Systems Engineering and Electronics, 2017,39(1):231-236(in Chinese).
[8]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]LU C J,MEEKER W O.Using degradation measures to estimate a time-to-failure distribution[J].Technometrics,1993,35(2):161-174.
[10]BAGDONAVICIUS V,HAGHIGHI F,NIKULIN M.Statistical analysis of general degradation path model and failure time data with multiple failure modes[J].Communications in Statistics-Theory and Methods,2005,34(8):1771-1791.
[11]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(Sup.2):22-25(in Chinese).
[12]BEHZADIAN M,OTAGHSARA S K,YAZDANI M,et al.A state-of the-art survey of TOPSIS applications[J].Expert Systems with Applications, 2012,39(17):13051-13069.
[13]LIN M C,WANG C C,CHEN M S,et al.Using AHP and TOPSIS approaches in customer-driven product design process[J].Computers in Industry,2008,59(1):17-31.