메뉴 건너뛰기




Volumn 44, Issue 3, 2013, Pages 545-555

Reliability prediction for evolutionary product in the conceptual design phase using neural network-based fuzzy synthetic assessment

Author keywords

Evolutionary product; Fuzzy set; Fuzzy synthetic assessment; Neural network; Reliability prediction

Indexed keywords

ACCURATE PREDICTION; BACK PROPAGATION NEURAL NETWORKS; COMPARATIVE STUDIES; DATA SETS; DOMAIN EXPERTS; EARLY DESIGN STAGES; EVOLUTIONARY PRODUCT; FUEL INJECTION PUMPS; FUNCTIONAL RELATIONSHIP; FUZZY SYNTHETIC ASSESSMENT; MEAN TIME TO FAILURE; NETWORK-BASED; NEW PRODUCT; PRODUCT LIFE CYCLE MANAGEMENT; RELIABILITY INDEX; RELIABILITY PREDICTION;

EID: 84870578289     PISSN: 00207721     EISSN: 14645319     Source Type: Journal    
DOI: 10.1080/00207721.2011.617887     Document Type: Article
Times cited : (27)

References (46)
  • 1
    • 0035425860 scopus 로고    scopus 로고
    • An implementation of reliability analysis in the conceptual design phase of drive trains
    • DOI 10.1016/S0951-8320(01)00041-2, PII S0951832001000412
    • Avontuur, GC, and, Werff, KV. 2001. An Implementation of Reliability Analysis in the Conceptual Design Phase of Drive Trains. Reliability Engineering and System Safety, 73: 155-165. (Pubitemid 32698531)
    • (2001) Reliability Engineering and System Safety , vol.73 , Issue.2 , pp. 155-165
    • Avontuur, G.C.1    Van Der Werff, K.2
  • 2
    • 0027635550 scopus 로고
    • Combination of fuzzy numbers representing expert opinions
    • Bardossy, A, Duckstein, L, and, Bogardi, I. 1993. Combination of Fuzzy Numbers Representing Expert Opinions. Fuzzy Sets and Systems, 57: 173-181.
    • (1993) Fuzzy Sets and Systems , vol.57 , pp. 173-181
    • Bardossy, A.1    Duckstein, L.2    Bogardi, I.3
  • 3
    • 0029325353 scopus 로고
    • A combined fuzzy-logic & physics-of-failure approach to reliability prediction
    • Bazu, M. 1995. A Combined Fuzzy-logic & Physics-of-failure Approach to Reliability Prediction. IEEE Transactions on Reliability, 44: 237-242.
    • (1995) IEEE Transactions on Reliability , vol.44 , pp. 237-242
    • Bazu, M.1
  • 5
    • 0026835355 scopus 로고
    • A survey of reliability prediction procedures for microelectronic devices
    • Bowles, JB. 1992. A Survey of Reliability Prediction Procedures for Microelectronic Devices. IEEE Transactions on Reliability, 41: 2-12.
    • (1992) IEEE Transactions on Reliability , vol.41 , pp. 2-12
    • Bowles, J.B.1
  • 6
    • 0001435175 scopus 로고
    • Fuzzy reliability theories
    • Cai, KY. 1991a. Fuzzy Reliability Theories. Fuzzy Sets and Systems, 40: 510-511.
    • (1991) Fuzzy Sets and Systems , vol.40 , pp. 510-511
    • Cai, K.Y.1
  • 7
    • 0028424269 scopus 로고
    • Fuzzy system reliability analysis using fuzzy number arithmetic operations
    • Chen, SM. 1994. Fuzzy System Reliability Analysis Using Fuzzy Number Arithmetic Operations. Fuzzy Sets and Systems, 64: 31-38.
    • (1994) Fuzzy Sets and Systems , vol.64 , pp. 31-38
    • Chen, S.M.1
  • 9
    • 0032158096 scopus 로고    scopus 로고
    • The history of reliability prediction
    • Denson, W. 1998. The History of Reliability Prediction. IEEE Transactions on Reliability, 47: 321-328.
    • (1998) IEEE Transactions on Reliability , vol.47 , pp. 321-328
    • Denson, W.1
  • 10
    • 33751214160 scopus 로고    scopus 로고
    • Inverse possibility analysis method for possibility-based design optimization
    • DOI 10.2514/1.16546
    • Du, L, Choi, KK, and, Youn, BD. 2006. Inverse Possibility Analysis Method for Possible-based Design Optimization. AIAA Journal, 44: 2682-2690. (Pubitemid 44788065)
    • (2006) AIAA Journal , vol.44 , Issue.11 , pp. 2682-2690
    • Du, L.1    Choi, K.K.2    Youn, B.D.3
  • 12
    • 35948965969 scopus 로고    scopus 로고
    • Reliability analysis of a conveyor system using hybrid data
    • DOI 10.1002/qre.843
    • Gupta, S, and, Bhattacharya, J. 2007. Reliability Analysis of a Conveyor System Using Hybrid Data. Quality and Reliability Engineering International, 23: 867-882. (Pubitemid 350072700)
    • (2007) Quality and Reliability Engineering International , vol.23 , Issue.7 , pp. 867-882
    • Gupta, S.1    Bhattacharya, J.2
  • 13
    • 77953507635 scopus 로고    scopus 로고
    • Dynamic evidential reasoning algorithm for systems reliability prediction
    • Hu, CH, Si, XS, and, Yang, JB. 2010. Dynamic Evidential Reasoning Algorithm for Systems Reliability Prediction. International Journal of Systems Science, 41: 783-796.
    • (2010) International Journal of Systems Science , vol.41 , pp. 783-796
    • Hu, C.H.1    Si, X.S.2    Yang, J.B.3
  • 15
    • 33750338699 scopus 로고    scopus 로고
    • Robust recurrent neural network modeling for software fault detection and correction prediction
    • DOI 10.1016/j.ress.2006.04.007, PII S0951832006001001
    • Hu, QP, Xie, M, Ng, SH, and, Levitin, G. 2007. Robust Recurrent Neural Network Modeling for Software Fault Detection and Correction Prediction. Reliability Engineering and System Safety, 92: 332-340. (Pubitemid 44635168)
    • (2007) Reliability Engineering and System Safety , vol.92 , Issue.3 , pp. 332-340
    • Hu, Q.P.1    Xie, M.2    Ng, S.H.3    Levitin, G.4
  • 16
    • 40849135795 scopus 로고    scopus 로고
    • Two-unit repairable systems with common-cause shock failures and fuzzy parameters: Parametric programming approach
    • Huang, HI, Lin, CH, and, Ke, JC. 2008. Two-unit Repairable Systems with Common-cause Shock Failures and Fuzzy Parameters: Parametric Programming Approach. International Journal of Systems Science, 39: 449-459.
    • (2008) International Journal of Systems Science , vol.39 , pp. 449-459
    • Huang, H.I.1    Lin, C.H.2    Ke, J.C.3
  • 18
    • 0032670417 scopus 로고    scopus 로고
    • A comparison of electronic-reliability prediction models
    • Jones, J, and, Hayes, J. 1999. A Comparison of Electronic-reliability Prediction Models. IEEE Transactions on Reliability, 48: 127-134.
    • (1999) IEEE Transactions on Reliability , vol.48 , pp. 127-134
    • Jones, J.1    Hayes, J.2
  • 21
    • 84859359113 scopus 로고    scopus 로고
    • Reliability-based measures for a system with an uncertain parameter environment
    • DOI:10.1080/00207721.2010.545489
    • Lin, CH. Ke, J.C., and Huang, H.I. (2010), Reliability-based Measures for a System with an Uncertain Parameter Environment, International Journal of Systems Science, DOI:10.1080/00207721.2010.545489
    • (2010) International Journal of Systems Science
    • Lin, C.H.1    Ke, J.C.2    Huang, H.I.3
  • 22
    • 11144301148 scopus 로고    scopus 로고
    • A neural network application for reliability modelling and condition-based predictive maintenance
    • Lin, CC, and, Tseng, HY. 2005. A Neural Network Application for Reliability Modelling and Condition-Based Predictive Maintenance. Journal of Advanced Manufacturing Technology, 25: 174-179.
    • (2005) Journal of Advanced Manufacturing Technology , vol.25 , pp. 174-179
    • Lin, C.C.1    Tseng, H.Y.2
  • 24
  • 25
    • 84990361313 scopus 로고    scopus 로고
    • Reliability and performance assessment for fuzzy multi-state element
    • Liu, Y, Huang, HZ, and, Levitin, G. 2008. Reliability and Performance Assessment for Fuzzy Multi-state Element. Journal of Risk and Reliability, 222: 675-686.
    • (2008) Journal of Risk and Reliability , vol.222 , pp. 675-686
    • Liu, Y.1    Huang, H.Z.2    Levitin, G.3
  • 26
    • 77954344179 scopus 로고    scopus 로고
    • Optimal preventive maintenance policy under fuzzy bayesian reliability assessment environments
    • Liu, Y, Li, YF, Huang, HZ, Zuo, MJ, and, Sun, ZQ. 2010. Optimal Preventive Maintenance Policy Under Fuzzy Bayesian Reliability Assessment Environments. IIE Transactions, 42: 734-745.
    • (2010) IIE Transactions , vol.42 , pp. 734-745
    • Liu, Y.1    Li, Y.F.2    Huang, H.Z.3    Zuo, M.J.4    Sun, Z.Q.5
  • 27
    • 77955217528 scopus 로고    scopus 로고
    • A hierarchical statistical sensitivity analysis method for multilevel systems with shared variables
    • Liu, Y, Yin, X, Arendt, P, Chen, W, and, Huang, HZ. 2010. A Hierarchical Statistical Sensitivity Analysis Method for Multilevel Systems with Shared Variables. Journal of Mechanical Design, 132: 021006
    • (2010) Journal of Mechanical Design , vol.132 , pp. 021006
    • Liu, Y.1    Yin, X.2    Arendt, P.3    Chen, W.4    Huang, H.Z.5
  • 28
    • 0038661951 scopus 로고    scopus 로고
    • Using neural network function approximation for optimal design of continuous-state parallel-series systems
    • DOI 10.1016/S0305-0548(01)00100-9, PII S0305054801001009
    • Liu, PX, Zuo, MJ, and, Meng, MQH. 2003. Using Neural Network Function Approximation for Optimal Design of Continuous-state Parallel-series Systems. Computers and Operations Research, 30: 339-352. (Pubitemid 36650123)
    • (2003) Computers and Operations Research , vol.30 , Issue.3 , pp. 339-352
    • Liu, P.X.1    Zuo, M.J.2    Meng, M.Q.-H.3
  • 30
  • 31
    • 4344569618 scopus 로고    scopus 로고
    • Comparison of probability and possibility for design against catastrophic failure under uncertainty
    • Nikolaidis, E, Chen, S, Cudney, H, Haftka, RT, and, Rosca, R. 2004. Comparison of Probability and Possibility for Design Against Catastrophic Failure Under Uncertainty. Journal of Mechanical Design, 126: 386-394.
    • (2004) Journal of Mechanical Design , vol.126 , pp. 386-394
    • Nikolaidis, E.1    Chen, S.2    Cudney, H.3    Haftka, R.T.4    Rosca, R.5
  • 32
    • 0036600152 scopus 로고    scopus 로고
    • Reliability prediction models to support conceptual design
    • DOI 10.1109/TR.2002.1011519, PII S0018952902056178
    • Ormon, SW, Cassady, CR, and, Greenwood, AG. 2002. Reliability Prediction Models to Support Conceptual Design. IEEE Transactions on Reliability, 51: 151-157. (Pubitemid 34924186)
    • (2002) IEEE Transactions on Reliability , vol.51 , Issue.2 , pp. 151-157
    • Ormon, S.W.1    Cassady, C.R.2    Greenwood, A.G.3
  • 33
    • 33645212878 scopus 로고    scopus 로고
    • An artificial neural network for modeling reliability, availability and maintainability of a repairable system
    • Rajpal, PS, Shishodia, KS, and, Sekhon, GS. 2006. An Artificial Neural Network for Modeling Reliability, Availability and Maintainability of a Repairable System. Reliability Engineering and System Safety, 91: 809-819.
    • (2006) Reliability Engineering and System Safety , vol.91 , pp. 809-819
    • Rajpal, P.S.1    Shishodia, K.S.2    Sekhon, G.S.3
  • 37
    • 0035654279 scopus 로고    scopus 로고
    • Feedforward neural network construction using cross validation
    • DOI 10.1162/089976601317098565
    • Setiono, R. 2001. Feedforward Neural Network Construction Using Cross Validation. Neural Computation, 13: 2865-2877. (Pubitemid 33598000)
    • (2001) Neural Computation , vol.13 , Issue.12 , pp. 2865-2877
    • Setiono, R.1
  • 39
    • 0032140934 scopus 로고    scopus 로고
    • Bias and variance of validation methods for function approximation neural networks under conditions of sparse data
    • PII S1094697798038929
    • Twomey, JM, and, Smith, AE. 1998. Bias and Variance of Validation Method for Function Approximation Neural Networks Under Conditions of Spares Data. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 28: 417-430. (Pubitemid 128748640)
    • (1998) IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews , vol.28 , Issue.3 , pp. 417-430
    • Twomey, J.M.1    Smith, A.E.2
  • 41
    • 77955246013 scopus 로고    scopus 로고
    • Optimal design accounting for reliability, maintenance, and warranty
    • Wang, Z, Huang, HZ, and, Du, X. 2010. Optimal Design Accounting for Reliability, Maintenance, and Warranty. Journal of Mechanical Design, 132: 011007
    • (2010) Journal of Mechanical Design , vol.132 , pp. 011007
    • Wang, Z.1    Huang, H.Z.2    Du, X.3
  • 42
    • 0035368997 scopus 로고    scopus 로고
    • A comprehensive reliability allocation method for design of CNC lathes
    • DOI 10.1016/S0951-8320(01)00018-7, PII S0951832001000187
    • Wang, Y, Yam, RCM, Zuo, MJ, and, Tse, P. 2001. A Comprehensive Reliability Allocation Method for Design of CNC Lathes. Reliability Engineering and System Safety, 72: 247-252. (Pubitemid 32498384)
    • (2001) Reliability Engineering and System Safety , vol.72 , Issue.3 , pp. 247-252
    • Wang, Y.1    Yam, R.C.M.2    Zuo, M.J.3    Tse, P.4
  • 43
    • 84870605197 scopus 로고    scopus 로고
    • Reliability prediction of mechanical product based on similarity
    • (in Chinese)
    • Yang, MS, Lin, ZH, He, BW, and, Chen, K. 2003. Reliability Prediction of Mechanical Product Based on Similarity. Machine Tool and Hydraulics, 1: 63-65 (in Chinese).
    • (2003) Machine Tool and Hydraulics , vol.1 , pp. 63-65
    • Yang, M.S.1    Lin, Z.H.2    He, B.W.3    Chen, K.4
  • 44
    • 49349133217 scopus 로고
    • Fuzzy sets as a basis for a theory of possibility
    • Zadeh, LA. 1979. Fuzzy Sets as a Basis for a Theory of Possibility. Fuzzy Sets and Systems, 1: 3-28.
    • (1979) Fuzzy Sets and Systems , vol.1 , pp. 3-28
    • Zadeh, L.A.1
  • 45
    • 3442888072 scopus 로고    scopus 로고
    • A model of aeroengine reliability prediction based on fuzzy number
    • (in Chinese)
    • Zhao, DZ, Wen, WD, and, Duan, CM. 2004a. A Model of Aeroengine Reliability Prediction Based on Fuzzy Number. Journal of Aerospace Power, 19: 320-325. (in Chinese)
    • (2004) Journal of Aerospace Power , vol.19 , pp. 320-325
    • Zhao, D.Z.1    Wen, W.D.2    Duan, C.M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.