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Lookup NU author(s): Dr Wenxian YangORCiD
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Attributed to providing a more realistic representation of the signal without the artifacts imposed by non-adaptive limitations suffered by both Fourier- and Wavelet-transform based methods, Empirical Mode Decomposition (EMD) has been widely accepted as a favored tool for interpreting nonlinear, non-stationary signals, which are often associated with the occurrence of faults or variable operations of rotating machinery. In this chapter,the fundamental theory of the EMD will be explained. But more context will be spent on discussing its two dimensional form, namely Bivariate Empirical Mode Decomposition, and the powerful capacity of this innovative technique in the application of machine condition monitoring.
Author(s): Yang W
Series Editor(s): Yan, Ruqiang
Publication type: Book Chapter
Publication status: Published
Book Title: Structural Health Monitoring - An Advanced Signal Processing Perspective
Year: 2017
Volume: 26
Pages: 293-319
Print publication date: 30/04/2017
Acceptance date: 30/03/2017
Series Title: Smart Sensors, Measurement, Instrumentation
Publisher: Springer
Place Published: India
URL: http://doi.org/10.1007/978-3-319-56126-4_11
DOI: 10.1007/978-3-319-56126-4_11
Library holdings: Search Newcastle University Library for this item
ISBN: 9783319561257