Nonparametric and semi-parametric sensor recovery in multichannel condition monitoring systems

IEEE Transactions on Automation Science and Engineering

Volumn 8, Issue 4, 2011, Pages 744-753

  Liao, Haitao ^a   Sun, Jian ^a  

^a University of Tennessee   (United States)

Author keywords

Asynchronous data; condition monitoring (CM); functional principal component analysis (FPCA); sensor recovery

Indexed keywords

ARRAY OF SENSORS; ASYNCHRONOUS DATA; ASYNCHRONOUS SENSOR; CONDITION MONITORING SYSTEMS; CORRELATED SIGNALS; ELMAN NEURAL NETWORK; EQUIPMENT DEGRADATION; FAILURE PREVENTION; FUNCTIONAL PRINCIPAL COMPONENT ANALYSIS; FUNCTIONAL PRINCIPAL COMPONENT ANALYSIS (FPCA); FUNCTIONAL REGRESSION; HISTORICAL DATA; MULTI-CHANNEL; NON-PARAMETRIC; ONLINE IMPLEMENTATION; OPERATIONAL SCHEMES; SAMPLING RATES; SEMIPARAMETRIC; SENSOR CHANNELS; SENSOR READINGS; SENSOR SIGNALS; TIME VARYING;

AIRCRAFT ENGINES; DIAGNOSIS; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; RECOVERY; SENSORS;

CONDITION MONITORING;

EID: 80053637158     PISSN: 15455955     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASE.2011.2159265     Document Type: Article

References (26)

1. H. Lu, W. J. Kolarik, and S. S. Lu, "Real-time performance reliability prediction, " IEEE Trans. Rel., vol. 50, no. 4, pp. 353-357, Dec. 2002. (Pubitemid 34191851)
2. A. Heng, S. Zhang, C. C. Tan, and J. Mathew, "Rotating machinery prognostics: State of art, challenges and opportunities, " Mech. Syst. Signal Process., vol. 23, pp. 724-739, 2009.
3. S. Albin and S. Chao, "Preventive replacement in systems with dependent components, " IEEE Trans. Rel., vol. 41, no. 2, pp. 230-238, Jun.1992.
4. J. P. Kharoufh and S. M. Cox, "Stochastic models for degradationbased reliability, " IIE Trans., vol. 37, pp. 533-542, 2005.
5. E. A. Elsayed and H. Liao, "A geometric Brownian motion model for field degradation data, " Int. J. Mater. Prod. Technol., vol. 20, pp. 51-72, 2004.
6. H. Liao and E. A. Elsayed, "Reliability inference for field conditions from accelerated degradation testing, " Naval Res. Logist., vol. 53, pp. 576-587, 2006. (Pubitemid 44329209)
7. H. Liao, E. A. Elsayed, and L. Y. Chan, "Maintenance of continuously monitored degrading systems, " Eur. J. Oper. Res., vol. 175, pp. 821-835, 2006. (Pubitemid 44345072)
8. J. M. Van Noortwijk, "A survey of the application of gamma processes in maintenance, " Rel. Eng. Syst. Safety, vol. 94, pp. 2-21, 2009.
9. M. Rausch and H. Liao, "Joint production and spare part inventory control strategy driven by condition based maintenance, " IEEE Trans. Rel., vol. 59, no. 3, pp. 507-516, Sep. 2010.
10. C. J. Lu and W. Meeker, "Using degradation measures to estimate a time-to-failure distribution, " Technometrics, vol. 35, pp. 161-174, 1993. (Pubitemid 23705731)
11. R. D. Bock, Multivariate Statistical Methods in Behavioral Research. New York: McGraw-Hill, 1975.
12. D. Hedeker, "An introduction to growth modeling, " in Quantitative Methodology for the Social Sciences 2004, sec. IV, pp. 215-233.
13. T. H. Guo and J. Nurre, "Sensor failure detection and recovery by neural networks, " in Proc. Int. Joint Conf. Neural Networks, Seattle, WA, Jul. 1991, pp. 221-226.
14. J. O. Ramsay and B. W. Silverman, Functional Data Analysis, 2nd ed. New York: Springer, 2005.
15. S.Watanabe, "Karhunen-Loève expansion and factor analysis, " Trans. 4th Prague Conf. Inform. Theory, pp. 635-660, 1965.
16. F. Yao, H. G. Müller, and L. J. Wang, "Functional data analysis for sparse longitudinal data, " J. Amer. Statist. Assoc., vol. 100, pp. 577-590, 2005. (Pubitemid 40816595)
17. J. Rice and B. Silverman, "Estimating the mean and covariance structure nonparametrically when the data are curves, " J. Royal Statist. Soc., ser. B, vol. 53, pp. 233-243, 1991.
18. W. S. Cleveland and S. J. Devlin, "Locally-weighted regression: An approach to regression analysis by local fitting, " J. Amer. Statist. Assoc., vol. 83, pp. 596-610, 1988.
19. J. A. Rice, "Bandwidth choice for nonparametric regression, " Ann. Statist., vol. 12, pp. 1215-1230, 1984.
20. J. G. Staniswalis and J. J. Lee, "Nonparametric regression analysis of longitudinal data, " J. Amer. Statist. Assoc., vol. 93, pp. 1403-1408, 1998.
21. J. T. Kent, J. M. Bibby, and K. V. Mardia, Multivariate Analysis. London, U.K.: Academic, 1980.
22. J. O. Ramsay and C. J. Dalzell, "Some tools for functional data analysis, " J. Royal Statist. Soc.: Series B, vol. 53, pp. 539-572, 1991.
23. F. Yao, H. G. Müller, and J. L. Wang, "Functional linear regression analysis for longitudinal data, " Ann. Statist., vol. 33, pp. 2873-2903, 2005. (Pubitemid 43384879)
24. A. Saxena, K. Goebel, D. Simon, and N. Eklund, "Damage propagation modeling for aircraft engine run-to-failure simulation, " in Proc. 1st Int. Conf. Prognostics and Health Manage., Denver, CO, Oct. 2008, pp. 1-9.
25. A. Saxena and K. Goebel, "C-MAPSS data set, " in NASA Ames Prognostics Data Repository. Moffett Field, CA: NASA Ames, 2008.
26. G. Chryssolouris, M. Lee, and A. Ramsey, "Confidence interval prediction for neural network models, " IEEE Trans. Neural Networks, vol. 7, no. 1, pp. 229-232, Jan. 1996. (Pubitemid 126811745)