Abstract
The search for unusual events and trends hidden in multi-component, nonlinear, non-stationary, noisy signals is extremely important for a host of different applications, ranging from nuclear power plant and electric grid operation to internet traffic and implementation of non-proliferation protocols. In the context of this work, we define an unusual event as a local signal disturbance and a trend as a continuous carrier of information added to and different from the underlying baseline dynamics. The goal of this paper is to investigate the feasibility of detecting hidden, intermittent events inside non-stationary signal data sets corrupted by high levels of noise by using the Hilbert-Huang empirical mode decomposition method.
Original language | English |
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Title of host publication | 5th International Topical Meeting on Nuclear Plant Instrumentation Controls, and Human Machine Interface Technology (NPIC and HMIT 2006) |
Pages | 486-494 |
Number of pages | 9 |
State | Published - 2006 |
Event | 5th International Topical Meeting on Nuclear Plant Instrumentation Controls, and Human Machine Interface Technology (NPIC and HMIT 2006) - Albuquerque, NM, United States Duration: Nov 12 2006 → Nov 16 2006 |
Publication series
Name | 5th International Topical Meeting on Nuclear Plant Instrumentation Controls, and Human Machine Interface Technology (NPIC and HMIT 2006) |
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Volume | 2006 |
Conference
Conference | 5th International Topical Meeting on Nuclear Plant Instrumentation Controls, and Human Machine Interface Technology (NPIC and HMIT 2006) |
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Country/Territory | United States |
City | Albuquerque, NM |
Period | 11/12/06 → 11/16/06 |
Funding
We thank Drs. J. Antonino-Daviu and J. Roger-Folch, Electrical Engineering Department, Universitat Politecnica de Valencia, Spain, for providing the induction machine data. C.C.-P. gratefully acknowledges Dr. Steven R. Long, NASA/GSFC/Wallops Flight Facility for providing the Hilbert Transform Algorithm. The Oak Ridge National Laboratory is managed by UT-Battelle, LLC, under Contract DE-AC05-00OR22725 with the US Department of Energy. The United States Government retains, and the publisher by accepting the article for publication, acknowledges that the United States Government retains, a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes.