1 |
Ahmad, S., Lavin, A., Purdy, S., and Agha, Z. 2017. "Unsupervised real-time anomaly detection for streaming data." Neurocomputing 262(1):134-147.
DOI
|
2 |
Devika, U.K., and Sunny, D. 2014. "Comparison Study among Various Anomaly Detection Techniques." Journal of Research in Computer and Communication Technology 3(3):121-124.
|
3 |
Farina, M., Osto. E., Perizzato, A., Piroddi, L., and Scattolini, R. 2015. "Fault Detection and Isolation of Bearings in a Drive Reducer of a Hot Steel Rolling Mill." Control Engineering Practice 39:35-44.
DOI
|
4 |
Hansson, K., Yella, S., Dougherty, M., and Fleyeh, H. 2016. "Machine Learning Algorithms in Heavy Process Manufacturing." American Journal of Intelligent Systems 6(1):1-13.
|
5 |
Hu, Y., Palme, T., and Fink, O. 2016. "Deep Health Indicator Extraction: A Method Based on Auto-encoders and Extreme Learning Machines." Annual Conference of the Prognostics and Health Management Society:1-7.
|
6 |
Kumar, S., Chow, W. S., and Pecht, M. 2010. "Approach to Fault Identification for Electronic Products Using Mahalanobis Distance." IEEE Transactions on Instrumentation and Measurement 59(8):20552064.
|
7 |
Lee, S. H., and Yun, B. D. 2015. "Industry 4.0 and Direction of Failure Prediction and Health Management Technology(PHM)." Journal of the Korean Society for Noise and Vibration Engineering 25(1):22-28.
|
8 |
Omar, S., Ngadi, A., and Jebur, H. H. 2013. "Machine Learning Techniques for Anomaly Detection : An overview." International Journal of Computer Applications 79(2):33-41.
DOI
|
9 |
Sarkar, S., Reddy, K. K., Giering, M., and Gurvich, M. R. 2016. "Deep Learning for Structural Health Monitoring: A damage characterization application." Annual Conference of the Prognostics and Health Management Society:176-182.
|
10 |
Choi. J. H. 2013. "Introduction of Prognostics and Health Management." Journal of the Korean Society of Mechanical Engineers 53(7):26-34.
|
11 |
Yacout, S. 2010. "Fault Detection and Diagnosis for Condition Based Maintenance Using the Logical Analysis of Data." Computers and Industrial Engineering(CIE) 2010 40th International Conference:1-6.
|
12 |
Seo, M. K., and Yun, W. Y. 2017. "Clustering-based Monitoring and Fault detection in Hot Strip Roughing Mill." Journal of the Korean Society for Quality Management 45(1):25-37.
DOI
|
13 |
Verdier, G., and Ferreira, A. 2011. "Adaptive Mahalanobis Distance and k-Nearest Neighbor Rule for Fault Detection in Semiconductor Manufacturing." IEEE Transactions Semiconductor Manufacturing 24(1):59-68.
DOI
|
14 |
Vincent, P., Larochelle, H., Lajoie, I., Bengio, Y., and Manzagol, P. A. 2010. "Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion." The Journal of Machine Learning Research 11(3):3371-3408.
|
15 |
Zhu, H. J., Ting, R., Wang, X. Q., You, Z., and Fang, H. 2015. "Fault Diagnosis of Hydraulic Pump Based on Stacked Autoencoders." IEEE 12th International Conference on Electronic Measurement & Instruments:58-62.
|
16 |
Zhou, Y., Li, H.M., Huang, D., and Gao, Z. 2015. "Data Driven Injection Molding Process Monitoring Using Sparse Autoencoder Technique." IEEE International Conference on Advanced Intelligent Mechatronics(AIM):524-528.
|