Optimal inspection and replacement policy based on experimental degradation data with covariates

References

• Alaswad, S. and Xiang, Y. (2017) A review on condition-based maintenance optimization models for stochastically deteriorating system. Reliability Engineering & System Safety, 157, 54–63.
   Web of Science ®Google Scholar
• An, Z. and Sun, D. (2017) Reliability modeling for systems subject to multiple dependent competing failure processes with shock loads above a certain level. Reliability Engineering & System Safety, 157, 129–138.
   Web of Science ®Google Scholar
• Barker, C.T. and Newby, M.J. (2009) Optimal non-periodic inspection for a multivariate degradation model. Reliability Engineering & System Safety, 94, 33–43.
   Web of Science ®Google Scholar
• Bousquet, N., Fouladirad, M., Grall, A. and Paroissin, C. (2015) Bayesian gamma processes for optimizing condition-based maintenance under uncertainty. Applied Stochastic Models in Business and Industry, 31, 360–379.
   Web of Science ®Google Scholar
• Castro, I.T., Caballé, N.C. and Pérez, C.J. (2015) A condition-based maintenance for a system subject to multiple degradation processes and external shocks. International Journal of Systems Science, 46(9), 1692–1704.
   Web of Science ®Google Scholar
• Chen, P. and Ye, Z. (2018) Uncertainty quantification for monotone stochastic degradation models. Journal of Quality Technology, 50(2), 207–219.
   Web of Science ®Google Scholar
• Chen, Y., Gong, W., Xu, D. and Kang, R. (2018) Imperfect maintenance policy considering positive and negative effects for deteriorating systems with variation of operating conditions. IEEE Transactions on Automation Science and Engineering, 15(2), 872–878.
   Web of Science ®Google Scholar
• De Jonge, B., Teunter, R. and Tinga, T. (2017) The influence of practical factors on the benefits of condition-based maintenance over time-based maintenance. Reliability Engineering & System Safety, 158, 21–30.
   Web of Science ®Google Scholar
• Do, P., Voisin, A., Levrat, E. and Iung, B. (2015) A proactive condition-based maintenance strategy with both perfect and imperfect maintenance actions. Reliability Engineering & System Safety, 133, 22–32.
   Web of Science ®Google Scholar
• Grall, A., Bérenguer, C. and Dieulle, L. (2002) A condition-based maintenance policy for stochastically deteriorating systems. Reliability Engineering & System Safety, 76, 167–180.
   Web of Science ®Google Scholar
• Hong, Y., Duan, Y., Meeker, W.Q., Stanley, D.L. and Gu, X. (2015) Statistical methods for degradation data with dynamic covariates information and an application to outdoor weathering data. Technometrics, 57, 180–193.
   Web of Science ®Google Scholar
• Huynh, K.T., Barros, A., Bérenguer, C. and Castro, I.T. (2011) A periodic inspection and replacement policy for systems subject to competing failure modes due to degradation and traumatic events. Reliability Engineering & System Safety, 96, 497–508.
   Web of Science ®Google Scholar
• Jakob, F., Kimmelmann, M. and Bertsche, B. (2017) Selection of acceleration models for test planning and model usage. IEEE Transactions on Reliability, 66, 298–308.
   Web of Science ®Google Scholar
• Ko, Y.M. and Byon, E. (2017) Condition-based joint maintenance optimization for a large-scale system with homogeneous units. IISE Transactions, 49, 493–504.
   Web of Science ®Google Scholar
• Kuhn, K.D. and Madanat, S.M. (2006) Robust maintenance policies for Markovian systems under model uncertainty. Computer-Aided Civil and Infrastructure Engineering, 21, 171–178.
   Web of Science ®Google Scholar
• Liao, H., Elsayed, E.A. and Chan, L.-Y. (2006) Maintenance of continuously monitored degrading systems. European Journal of Operational Research, 175, 821–835.
   Web of Science ®Google Scholar
• Liu, B., Wu, S., Xie, M. and Kuo, W. (2017) A condition-based maintenance policy for degrading systems with age- and state-dependent operating cost. European Journal of Operational Research, 263, 879–887.
   Web of Science ®Google Scholar
• Liu, B., Xie, M. and Kuo, W. (2016) Reliability modeling and preventive maintenance of load-sharing systems with degrading components. IIE Transactions, 48, 699–709.
   Web of Science ®Google Scholar
• Lu, C.J. and Meeker, W.Q. (1993) Using degradation measures to estimate a time-to-failure distribution. Technometrics, 35, 161–174.
   Web of Science ®Google Scholar
• Lu, Z., Cui, W. and Han, X. (2015) Integrated production and preventive maintenance scheduling for a single machine with failure uncertainty. Computers & Industrial Engineering, 80, 236–244.
   Web of Science ®Google Scholar
• Pan, R. and Yang, T. (2014) Design and evaluation of accelerated life testing plans with dual objectives. Journal of Quality Technology, 46, 114–126.
   Web of Science ®Google Scholar
• Peng, R., Liu, B., Zhai, Q. and Wang, W. (2017) Optimal maintenance strategy for systems with two failure modes. Reliability Engineering & System Safety. doi: 10.1016/j.ress.2017.07.014.
   Google Scholar
• Shi, Y., Escobar, L.A. and Meeker, W.Q. (2009) Accelerated destructive degradation test planning. Technometrics, 51(1), 1–13.
   Web of Science ®Google Scholar
• Shi, Y. and Meeker, W.Q. (2012) Bayesian methods for accelerated destructive degradation test planning. IEEE Transactions on Reliability, 61(1), 245–253.
   Web of Science ®Google Scholar
• Song, S., Coit, D.W. and Feng, Q. (2014) Reliability for systems of degrading components with distinct component shock sets. Reliability Engineering & System Safety, 132, 115–124.
   Web of Science ®Google Scholar
• Tian, Z., Jin, T., Wu, B. and Ding, F. (2011) Condition based maintenance optimization for wind power generation systems under continuous monitoring. Renewable Energy, 36, 1502–1509.
   Web of Science ®Google Scholar
• Toledo, M.L.G., de Freitas, M.A., Colosimo, E.A. and Gilardoni, G.L. (2016) Optimal periodic maintenance policy under imperfect repair: A case study of off-road engines. IIE Transactions, 48, 747–758.
   Web of Science ®Google Scholar
• Tsai, T.-R., Sung, W.-Y., Lio, Y.L., Chang, S.I. and Lu, J.-C. (2016) Optimal two-variable accelerated degradation test plan for gamma degradation processes. IEEE Transactions on Reliability, 65, 459–468.
   Web of Science ®Google Scholar
• Van Noortwijk, J.M. (2009) A survey of the application of gamma processes in maintenance. Reliability Engineering & System Safety, 94, 2–21.
   Web of Science ®Google Scholar
• Wang, H., Zhao, Y., Ma, X. and Wang, H. (2017) Optimal design of constant-stress accelerated degradation tests using the M-optimality criterion. Reliability Engineering & System Safety, 164, 45–54.
   Web of Science ®Google Scholar
• Wang, X. and Su, C. (2016) A two-dimensional preventive maintenance strategy for items sold with warranty. International Journal of Production Research, 54(19), 5901–5915.
   Web of Science ®Google Scholar
• Wu, S., Coolen, F.P.A. and Liu, B. (2017) Optimization of maintenance policy under parameter uncertainty using portfolio theory. IISE Transactions, 49, 711–721.
   Web of Science ®Google Scholar
• Xu, Z., Hong, Y. and Jin, R. (2016) Nonlinear general path models for degradation data with dynamic covariates. Applied Stochastic Models in Business and Industry, 32, 153–167.
   Web of Science ®Google Scholar
• Ye, Z.-S., Wang, Y., Tsui, K.-L. and Pecht, M. (2013) Degradation data analysis using Wiener processes with measurement errors. IEEE Transactions on Reliability, 62, 772–780.
   Web of Science ®Google Scholar
• Zhai, Q. and Ye, Z.-S. (2017) RUL prediction of deteriorating products using an adaptive Wiener process model. IEEE Transactions on Industrial Informatics, 13, 2911–2921.
   Web of Science ®Google Scholar
• Zhai, Q. and Ye, Z.-S. (2018) Degradation in common dynamic environments. Technometrics, 60, 461–471.
   Web of Science ®Google Scholar
• Zhang, M., Gaudoin, O. and Xie, M. (2015) Degradation-based maintenance decision using stochastic filtering for systems under imperfect maintenance. European Journal of Operational Research, 245, 531–541.
   Web of Science ®Google Scholar
• Zhang, M. and Xie, M. (2017) An ameliorated improvement factor model for imperfect maintenance and its goodness of fit. Technometrics, 59, 237–246.
   Web of Science ®Google Scholar
• Zhang, Y. and Meeker, W.Q. (2006) Bayesian methods for planning accelerated life tests. Technometrics, 48, 49–60.
   Web of Science ®Google Scholar
• Zhao, X. and Xie, M. (2017) Using accelerated life tests data to predict warranty cost under imperfect repair. Computers & Industrial Engineering, 107, 223–234.
   Web of Science ®Google Scholar
• Zhao, X., Xu, J. and Liu, B. (2018) Accelerated degradation tests planning with competing failure modes. IEEE Transactions on Reliability, 67(1), 142–155.
   Web of Science ®Google Scholar
• Zio, E. and Compare, M. (2013) Evaluating maintenance policies by quantitative modeling and analysis. Reliability Engineering & System Safety, 109, 53–65.
   Web of Science ®Google Scholar