Multivariate change detection for time series data in aircraft engine fault diagnostics

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn , Issue , 2007, Pages 2484-2489

  Hu, Xiao ^a   Qiu, Hai ^a   Iyer, Naresh ^a  

^a GE GLOBAL RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AIRCRAFT ENGINES; INFORMATION ANALYSIS; MAINTENANCE; SENSORS; TIME SERIES ANALYSIS;

FAULT PROGRESSES; MULTIVARIATE CHANGE DETECTION;

FAILURE ANALYSIS;

EID: 40949122710     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2007.4414131     Document Type: Conference Paper

References (28)

1. V.M. Morgenstern, B.R. Upadhyaya, M. Benedetti, "Signal Anomaly Detection Using Modified Cusum Method," Proceedings of the 27th IEEE Conference on Decision and Control, Vol.3, pp. 2340-2341, 1988.
2. D.P. Malladi, "A Generalized Shiryayev Sequential Probability Ratio Test for Change Detection and Isolation," IEEE Trans. Automat. Control, Vol. 44, pp. 1522-1534, 1999.
3. A.S. Willsky, H.L. Jones, "A Generalized Likelihood Ratio Approach to Detection and Estimation of Jumps in Linear Systems," IEEE Trans. Automat. Control, Vol. 21(1), pp. 108-112, 1976.
4. M. Sharifzadeh, F. Azmoodeh, C. Shahabi, "Change Detection in Time Series Data Using Wavelet Footprints," Advances in Spatial and Temporal Databases, Vol. 3633, pp. 127-144, 2005.
5. R.S. Tsay, "Outliers, Level Shifts and Variance Changes in Time Series," J. Forcasting 7, pp. 1-20, 1988.
6. M. Imhoff, M. Bauer, U. Gather, D. Löhlein, "Statistical Pattern Detection in Univariate Time Series of Intensive Care On-line Monitoring Data," Intensive Care Medicine, Vol. 24, pp. 1305-1314, 2004.
7. N.D. Ramirez-Beltran, J.A. Montes, "Neural Networks for On-line Parameter Change Detection in time series model," Computer & Industrial Engineering, Vol. 33, pp. 337-340, 1997.
8. K. Kumar, B. Wu, "Detection of Change Points in time series analysis with fuzzy statistics," International Journal of System Science, Vol. 32(9), pp. 1185-1192, Taylor&Francis, September, 2001.
9. P. Galeano, D. Peña, "Covariance Changes Detection in Multivariate Time Series," Journal of Statistical Planning and Inference, in press, 2005.
10. M. Lavielle, G. Teyssière, "Detection of Multiple Change-Points in Multivariate Time Series," Lithuanian Mathematical Journal, Vol. 46, pp. 287-306, 2006.
11. M. Markou, S. Singh, "Novelty Detection: A Review - Part 1: Statistical Approaches," Signal Processing, Vol. 83(12), pp. 2481-2497, 2003.
12. M. Markou, S. Singh, "Novelty Detection: A Review - Part 2: Neural Network Based Approaches," Signal Processing, Vol. 83(12), pp. 2499-2521, 2003.
13. X. Hu, N. Eklund, K. Goebel, W. Cheetham, "Hybrid Change Detection for Aircraft Engine Fault Diagnostics," Proceeding of 2007 IEEE Aerospace Conference, to appear, March 4-9, Big Sky, MT, 2007.
14. R. Fisher, "The logic of inductive inference," Journal of the Royal Statistical Society, 98, pp.39-54, 1935.
15. N. Eklund, K. Goebel, "Using Neural Networks and the Rank Permutation Transformation to Detect Abnormal Conditions In Aircraft Engines," Soft Computing in Industrial Applications, SMCia/2005, Proceedings of the 2005 IEEE Mid-Summer Workshop on, pp. 1-5, 2005.
16. F. Mosteller, J. Tukey, Data Analysis and Regression: A Second Course in Statistics. Addison Wesley, Reading, MA, 1977.
17. D.V. Hinkley, Inference about the change-point in a sequence of random variables, Biometrika, 57,1-17, 1970.
18. D. Siegmund, Boundary crossing probabilities and statistical applications. Ann. Statist. 14, 361-404, 1986.
19. H. Kim, "Change-Point Detection for Correlated Obervations," Statistica Sinica 6, pp. 275-287, 1996.
20. C.L. Fancourt, J.C. Principe, "On the Use of Neural Networks in the generalizaed likelihood ratio test for detecting abrupt changes in signals," Proceedings of the IEEE-NNNS-ENNS International Joint Conference on Neural Networks, Vol. 2, pp. 243-248, 2000.
21. M. Thottan, C. Ji, "Anomaly Detection in IP Networks," IEEE Trans on Signal Processing, Vol. 51, No. 8, pp. 2191 -2204, August, 2000.
22. L. Yu, D.J. Cleary, P.E. Cuddihy, "A Novel Approach to Aircraft Engine Anomaly Detection and Diagnostics," Proceedings of 2004 IEEE Aerospace Conference, Vol. 5, pp. 3468-3475, March, 2004.
23. H. Hotelling, "The generalization of Student's Ratio," Ann. Math. Statist., Vol. 2, pp. 360-378, 1931.
24. 2 Statistic," Comm. Statistical Simulation, Vol. 28, No. 4, pp. 1031-1050, 1999.
25. N. Ye, S.M. Emran, Q. Chen, S. Vilbert, "Multivariate Statistical Analysis of Audit Trails for Host-based Intrusion Detection," IEEE Trans. on Computers, Vol. 51, pp. 810-820, 2002.
26. th Joint Propulsion Conference, Seattle, WA, 1998; AIAA-98-3547; NASA/TM-1998-208483.
27. S. Narayanan, R.J. Marks II, J.L. Vian, J.J. Choi, M.A. El-Shakawi, B.B. Thompson, "Set Constraint Discovery: Missing Sensor Data Restoration Using Autoassociative Regression Machines," Proceedings of IJCNN'02, Vol. 3, pp. 2872-2877, 2002.
28. C.A. Lowry, W.H. Woodall, C.W. Champ, S.E. Rigdon, "A Multivariate Exponentially Weighted Moving Average Control Chart," Technometrics, Vol. 34, No. 1, pp. 46-53, 1992.