Reliability modeling and life estimation using an expectation maximization based wiener degradation model for momentum wheels

IEEE Transactions on Cybernetics

Volumn 45, Issue 5, 2015, Pages 969-977

  Li, Hong ^a   Pan, Donghui ^a,b   Chen, C L Philip ^c,d  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b ANHUI UNIVERSITY   (China)

^c UNIVERSITY OF MACAU   (Macao)

^d UMacau Research Institute   (China)

Author keywords

Expectation maximization (EM); first hitting time (FHT); momentum wheel (MW); reliability; Wiener process

Indexed keywords

MAXIMUM LIKELIHOOD ESTIMATION; MOMENTUM; RANDOM PROCESSES; RELIABILITY; WHEELS;

EXPECTATION - MAXIMIZATIONS; EXPECTATION MAXIMIZATION; EXPECTATION-MAXIMIZATION ALGORITHMS; FIRST HITTING TIME; MAXIMUM LIKELIHOOD ESTIMATOR; MOMENTUM WHEELS; PERFORMANCE CHARACTERISTICS; WIENER PROCESS;

MAXIMUM PRINCIPLE;

EID: 85027945570     PISSN: 21682267     EISSN: 21682275     Source Type: Journal    
DOI: 10.1109/TCYB.2014.2341113     Document Type: Article

References (42)

1. A. M. S. Mohammed et al., " Three-axis active control system for gravity gradient stabilised microsatellite," Acta Astronaut., vol. 64, nos. 7-8, pp. 796-809, Apr.-May 2009.
2. Z. Ismail and R. Varatharajoo, "A study of reaction wheel configurations for a 3-axis satellite attitude control, " Adv. Space Res., vol. 45, no. 6, pp. 750-759, Mar. 2010.
3. J. F. Castet and J. H. Saleh, "Satellite and satellite subsystems reliability: Statistical data analysis and modeling, " Reliab. Eng. Syst. Safety, vol. 94, no. 11, pp. 1718-1728, Nov. 2009.
4. J. F. Castet,J. H. Saleh Beyond reliability, multi-state failure analysis of satellite subsystems: A statistical approach Reliab. Eng. Syst. Safety 95 4, pp. 311-322, Apr. 2010.
5. K. Sathyan, H. Y. Hsu, S. H. Lee, and K. Gopinath, "Long-term lubrication of momentum wheels used in spacecrafts-An overview, " Tribol. Int., vol. 43, nos. 1-2, pp. 259-267, Jan.-Feb. 2010.
6. G. Jin, D. Matthews, Y. W. Fan, and Q. Liu, " Physics of failurebased degradation modeling and lifetime prediction of the momentum wheel in a dynamic covariate environment," Eng. Fail. Anal., vol. 28, pp. 222-240, Mar. 2013.
7. G. Jin, Q. Liu, J. L. Zhou, and Z. B. Zhou, " Reliability physics of failure estimation based on stochastic performance degradation for the momentum wheel," Eng. Fail. Anal., vol. 22, pp. 50-63, Jun. 2012.
8. C. J. Lu and W. Q. Meeker, "Using degradation measures to estimate a time-to-failure distribution, " Technometrics, vol. 35, no. 2, pp. 161-174, 1993.
9. W. Q. Meeker and L. A. Escobar, Statistical Methods for Reliability Data. New York, NY, USA: Wiley, 1998.
10. V. R. B. Oliveira and E. A. Colosimo, " Comparison of methods to estimate the time-to-failure distribution in degradation tests," Qual. Reliab. Eng. Int., vol. 20, no. 4, pp. 363-373, Jun. 2004.
11. J. P. Kharoufeh and S. M. Cox, "Stochastic models for degradation-based reliability, " IIE Trans., vol. 37, no. 6, pp. 533-542, 2005.
12. V. R. Joseph and I. T. Yu, "Reliability improvement experiments with degradation data, " IEEE Trans. Rel., vol. 55, no. 1, pp. 149-157, Mar. 2006.
13. R. P. Nicolai, R. Dekker, and J. M. van Noortwijk, "A comparison of models for measurable degradation: An application to coating on steel structures," Reliab. Eng. Syst. Safety, vol. 92, no. 12, pp. 1635-1650, 2007.
14. X. Wang, "Wiener processes with random effects for degradation data, " J. Multivariate Anal., vol. 101, no. 2, pp. 340-351, Feb. 2010.
15. H. Peng and Q. M. Feng, " Reliability modeling for ultrathin gate oxides subject to logistic degradation processes with random onset time," Qual. Reliab. Eng. Int., vol. 29, no. 5, pp. 709-718, 2013.
16. W. Shapiro, F. Murray, and R. Howarth, "Space mechanisms lessons learned study. Volume II-Literature review, " NASA, Washington, DC, USA, Tech. Rep., TM-107047, Sep. 1995.
17. E. V. Zaretsky, "Rolling bearing life prediction-Past, present, and future, " NASA, Washington, DC, USA, Tech. Rep., TM-210529, 2000.
18. J. Braza, M. J. Jansen, and W. R. Jones, " Lubricated bearing lifetimes of a multiply alkylated cyclopentane and a linear perfluoropolyether fluid in oscillatory motion at elevated temperatures in ultrahigh vacuum, " in Proc. 12th Eur. Space Mechanisms Tribol. Symp., Sep. 2007.
19. W. R. Jones and J. J. Mark, "Lubrication for space applications, " NASA, Washington, DC, USA, Tech. Rep., CR-213424, Jan. 2005.
20. M. Palladino, J. Murer, S. Didierjean, and L. Gaillard, " Life prediction of fluid lubricated space bearings: A case study," in Proc. 14th Eur. Space Mechanisms Tribol. Symp., Sep. 2011, pp. 279-285.
21. M. J. Jansen, " The effect of TiC coated balls and stress on the lubricant lifetime of a synthetic hydrocarbon (Pennzane 2001A) using a vacuum spiral orbit tribometer," in Proc. Int. Tribol. Conf., Oct. 2000.
22. Y. S. Sherif and M.L. Smith, "First-passage time distribution of Brownian motion as a reliability model, " IEEE Trans. Rel., vol. 29, no. 5, pp. 425-426, Dec. 1980.
23. G. A. Whitmore, " Estimating degradation by a Wiener diffusion process subject to measurement error," Lifetime Data Anal., vol. 1, no. 3, pp. 307-319, 1995.
24. M. L. T. Lee and G. A. Whitmore, " Threshold regression for survival analysis: Modeling event times by a stochastic process reaching a boundary," Stat. Sci., vol. 21, no. 4, pp. 501-513, 2006.
25. J. Balka,A. F. Desmond,P. D. McNicholas Review and implementation of cure models based on first hitting times for Wiener processes Lifetime Data Anal. 15 2 147-176 2009.
26. J. Tang and T. S. Su, " Estimating failure time distribution and its parameters based on intermediate data from a Wiener degradation model," Nav. Res. Log., vol. 55, no. 3, pp. 265-276, Apr. 2008.
27. M. L. T. Lee, G. A. Whitmore, F. Laden, J. E. Hart, and E. Garshick, " Assessing lung cancer risk in railroad workers using a first hitting time regression model," Environmetrics, vol. 15, no. 5, pp. 501-512, Aug. 2004.
28. G. A. Whitmore, " First-passage-time models for duration data regression structures and competing risks," J. Roy. Statist. Soc. Ser. D, vol. 35, no. 2, pp. 207-219, 1986.
29. M. Pecht and A. Dasgupta, "Physics-of-failure: An approach to reliable product development, " J. Inst. Environ. Sci., vol. 38, no. 5, pp. 30-34, Sep.-Oct. 1995.
30. S. Math ew, M. Alam, and M. Pecht, "Identification of failure mechanisms to enhance prognostic outcomes, " J. Fail. Anal. Preven., vol. 12, no. 1, pp. 66-73, 2012.
31. N. Gebraeel, M. A. Lawley, R. Li, and J. K. Ryan, " Residual-life distributions from component degradation signals: A Bayesian approach," IIE Trans., vol. 37, no. 6, pp. 543-557, 2005.
32. Z. G. Xu, Y. D. Ji, and D. H. Zhou, " Real-time reliability prediction for a dynamic system based on the hidden degradation process identification," IEEE Trans. Rel., vol. 57, no. 2, pp. 230-242, Jun. 2008.
33. C. Y. Peng and S. T. Tseng, "Mis-specification analysis of linear degradation models, " IEEE Trans. Rel., vol. 58, no. 3, pp. 444-455, Sep. 2009.
34. S. T. Tseng, J. Tang, and L. H. Ku, "Determination of optimal burnin parameters and residual life for highly reliable products, " Nav. Res. Log., vol. 50, no. 1, pp. 1-14, Feb. 2003.
35. X. S. Si, W. B.Wang, C. H. Hu, M. Y. Chen, and D. H. Zhou, " A Wienerprocess-based degradation model with a recursive filter algorithm for remaining useful life estimation," Mech. Syst. Signal Process., vol. 35, nos. 1-2, pp. 219-237, Feb. 2013.
36. T. Wei, Y. F. Huang, and C. L. P. Chen, "Adaptive sensor fault detection and identification using particle filter algorithms, " IEEE Trans. Syst., Man, Cybern. C, vol. 39, no. 2, pp. 201-213, Mar. 2009.
37. C. L. P. Chen and T.-H. Guo, "Design of intelligent optimal acceleration schedules for extending life of aircraft engines, " IEEE Trans. Syst., Man, Cybern. C, vol. 37, no. 5, pp. 1005-1015, Sep. 2007.
38. A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihood from incomplete data via the EM algorithm, " J. Roy. Statist. Soc., Ser. B, vol. 39, no. 1, pp. 1-38, 1977.
39. T. S. Ng, "An application of the EM algorithm to degradation modeling, " IEEE Trans. Rel., vol. 57, no. 1, pp. 2-13, Mar. 2008.
40. M. Dewar, K. Scer ri, and V. Kadirkamanathan, " Data-driven spatiotemporal modeling using the integro-difference equation," IEEE Trans. Signal Process., vol. 57, no. 1, pp. 83-91, Jan. 2009.
41. A. Wills, B. Ninness, and S. Gibson, " Maximum likelihood estimation of state space models from frequency domain data," IEEE Trans. Autom. Contr., vol. 54, no. 1, pp. 19-33, Jan. 2009.
42. T. B. Schön, A. Wills, and B. Ninness, "System identification of nonlinear state-space models, " Automatica, vol. 47, no. 1, pp. 39-49, Jan. 2011.