Publication Type
Conference Paper
Journal Name
Nuclear Technology
Publication Date
Page Number
486
Volume
1
Conference Name
5th American Nuclear Society International Topical Meeting on Nuclear Plant Instrumentation, Controls, and Human Machine Interface Technology
Conference Location
Albuquerque, New Mexico, United States of America
Conference Sponsor
The American Nuclear Society Operations and Power and Human Factors Divisions
Conference Date
-
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.
