Joint Label Consistent Dictionary Learning and Adaptive Label Prediction for Semisupervised Machine Fault Classification

IEEE Transactions on Industrial Informatics

Volumn 12, Issue 1, 2016, Pages 248-256

  Jiang, Weiming ^a,b   Zhang, Zhao ^a,b   Li, Fanzhang ^a,b   Zhang, Li ^a,b   Zhao, Mingbo ^c   Jin, Xiaohang ^d  

^a SOOCHOW UNIVERSITY   (China)

^b NANJING UNIVERSITY   (China)

^c CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^d ZHEJIANG UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

dictionary learning; label prediction; machine fault classification; Semi supervised learning

Indexed keywords

CODES (SYMBOLS); FORECASTING; MATRIX ALGEBRA; OPTIMAL SYSTEMS; SUPERVISED LEARNING;

ADAPTIVE RECONSTRUCTION; CLASSIFICATION PERFORMANCE; DICTIONARY LEARNING; EXTENSIVE SIMULATIONS; LABEL PREDICTIONS; MACHINE FAULTS; MULTI-CLASS CLASSIFIER; SEMI- SUPERVISED LEARNING;

CLASSIFICATION (OF INFORMATION);

EID: 84962566481     PISSN: 15513203     EISSN: None     Source Type: Journal    
DOI: 10.1109/TII.2015.2496272     Document Type: Article

References (24)

1. O. Chapelle, B. Scholkopf, and A. Zien, Semi-Supervised Learning. Cambridge, MA, USA: MIT Press, 2006.
2. J. Seshadrinath, B. Singh, and B. K. Panigrahi, "Vibration analysis based interturn fault diagnosis in induction machines, " IEEE Trans. Ind. Informat., vol. 10, no. 1, pp. 340-350, Feb. 2014.
3. M. B. Zhao, X. H. Jin, Z. Zhang, and B. Li, "Fault diagnosis of rolling element bearings via discriminative subspace learning: Visualization and classification, " Expert Syst. Appl., vol. 41, pp. 3391-3401, 2014.
4. H. Liu, C. Liu, and Y. Huang, "Adaptive feature extraction using sparse coding for machinery fault diagnosis, " Mech. Syst. Signal Process., vol. 25, pp. 558-574, 2011.
5. H. Liu, Y. Li, N. Li, and C. Liu, "Robust visual monitoring of machine condition with sparse coding and self-organizing map, " in Intell. Robot. Appl., Berlin, Germany: Lecture Notes in Computer Science, Springer, 2010, vol. 6424, pp. 642-653.
6. T. Bai and Y. Li, "Robust visual tracking using flexible structured sparse representation, " IEEE Trans. Ind. Informat., vol. 10, no. 1, pp. 538-547, Feb. 2014.
7. Z. Zhang, L. Zhang, M. B. Zhao, W. M. Jiang, Y. C. Liang, and F. Z. Li, "Semi-supervised image classification by nonnegative sparse neighborhood prediction, " in Proc. ACM Int. Conf. Multimedia Retrieval, Shanghai, China, Jun. 2015, pp. 139-146.
8. J. Chen, J. Ye, and Q. Li, "Integrating global and local structures: A least squares framework for dimensionality reduction, " in Proc. IEEE Conf. Comput. Vis. Pattern Recog., 2007, pp. 1-8.
9. H. Zhang, Y. Zhang, and T. S. Huang, "Simultaneous discriminantive projection and dictionary learning for sparse representation based classification, " Pattern Recognit., vol. 46, pp. 346-354, 2013.
10. M. J. Gangeh, A. Ghodsi, and M. S. Kamel, "Kernelized supervised dictionary learning, " IEEE Trans. Signal Process., vol. 61, no. 19, pp. 4753-4767, Oct. 2013.
11. J. Wright, M. Yang, A. Ganesh, S. Sastry, and Y. Ma, "Robust face recognition via sparse representation, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 31, no. 2, pp. 210-227, Feb. 2009.
12. J. Jing, Y. Wang, and X. Gao, "Semi-supervised sparse coding, " arXiv:1311. 6834, Jan. 2015.
13. M. Aharon, M. Elad, and A. Bruckstein, "K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation, " IEEE Trans. Signal Process., vol. 54, no. 1, pp. 4311-4322, Nov. 2006.
14. W. M. Jiang, Z. Zhang, F. Z. Li, L. Zhang, and M. B. Zhao, "Semisupervised label consistent dictionary learning for machine fault classification, " in Proc. 13rd IEEE Int. Conf. Ind. Informat., Cambridge, U. K., Jul. 2015, pp. 1124-1129.
15. J. Wang, J. Yang, K. Yu, F. Lv, T. Huang, and Y. Gong, "Localityconstrained linear coding for image classification, " in Proc. IEEE Conf. Comput. Vis. Pattern Recog., 2010, pp. 3360-3367.
16. J. Mairal, F. Bach, J. Ponce, G. Sapiro, and A. Zisserman, "Discriminative learned dictionaries for local image analysis, " in Proc. IEEE Conf. Comput. Vis. Pattern Recog., 2008, pp. 1-8.
17. D. Pham and S. Venkatesh, "Joint learning and dictionary construction for pattern recognition, " in Proc. IEEE Conf. Comput. Vis. Pattern Recog., 2008, pp. 1-8.
18. Q. Zhang and B. Li, "Discriminative K-SVD for dictionary learning in face recognition, " in Proc. IEEE Conf. Comput. Vis. Pattern Recog., 2010, pp. 2691-2698.
19. Z. L. Jiang, Z. Lin, and L. S. Davis, "Label consistent K-SVD: Learning a discriminative dictionary for recognition, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 35, no. 11, pp. 2651-2664, Nov. 2013.
20. Z. Zhang, T. W. S. Chow, and M. B. Zhao, "Trace ratio optimization based semi-supervised nonlinear dimensionality reduction for marginal manifold visualization, " IEEE Trans. Knowl. Data Eng., vol. 25, no. 5, pp. 1148-1161, May 2013.
21. J. Tropp and A. Gilbert, "Signal recovery from random measurements via orthogonal matching pursuit, " IEEE Trans. Inf. Theory, vol. 53, no. 12, pp. 4655-4666, Dec. 2007.
22. X. Jin, E. W. M. Ma, L. L. Cheng, and M. Pecht, "Health monitoring of cooling fans based on Mahalanobis distance with mRMR feature selection, " IEEE Trans. Instrum. Meas., vol. 61, no. 8, pp. 2222-2229, Aug. 2012.
23. Y. Deng, Y. Kong, F. Bao, and Q. Dai, "Sparse coding-inspired optimal trading system for HFT industry, " IEEE Trans. Ind. Informat., vol. 11, no. 2, pp. 467-475, Mar 2015.
24. X. H. Jin and T. W. S. Chow, "Anomaly detection of cooling fan and fault classification of induction motor using Mahalanobis-Taguchi system, " Expert Syst. Appl., vol. 40, no. 15, pp. 5787-5795, 2013.