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Machines of all kinds from vehicles to industrial equipment are increasingly instrumented with hundreds of sensors.
Towards faster stochastic gradient search
Darken, C., Moody, J.: · 1991
Earlier work this paper cites.
Detection of Abrupt Changes: Theory and Application
Basseville, M., Nikiforov, I.V.: · 1993
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Discovering dynamics from measured data
Krizman, V., Saso, D., Boris, K.: · 1995
Earlier work this paper cites.
Time-series novelty detection using one-class support vector machines
Ma, J., Perkins, S.: · 2003
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Online novelty detection on temporal sequences
Ma, J., Perkins, S.: · 2003
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Nonlinear time series analysis. Volume 7
Kantz, H., Schreiber, T.: · 2004
Earlier work this paper cites.
Static and dynamic novelty detection methods for jet engine health monitoring
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Latent force models
Alvarez, M.A., Luengo, D., Lawrence, N.D.: · 2009
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Time-series forecasting using a system of ordinary differential equations
Yuehui, C., Bin, Y., Qingfang, M., Yaou, Z., Ajith, A.: · 2011
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Reconstruction of phase space of dynamical systems using method of time delay
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Enhancing one-class support vector machines for unsupervised anomaly detection
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Outlier detection for temporal data
Gupta, M., Gao, J., Aggarwal, C., Han, J.: · 2014
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A review of novelty detection
Pimentel, M.A., Clifton, D.A., Clifton, L., Tarassenko, L.: · 2014
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Anomaly detection in real-valued multidimensional time series
Jones, M., Nikovski, D., Imamura, M., Hirata, T.: · 2014
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Long short term memory networks for anomaly detection in time series
Malhotra, P., Vig, L., Shroff, G., Agarwal, P.: · 2015
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Anomaly detection in ecg time signals through deep long short-term memory based recurrent neural network architecture
Chouhan, S., Vig, L.: · 2015
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