TY - CHAP
T1 - Bivariate empirical mode decomposition and its applications in machine condition monitoring
AU - Yang, Wenxian
N1 - Publisher Copyright:
© Springer International Publishing AG 2017.
PY - 2017/5/5
Y1 - 2017/5/5
N2 - Attributed to providing a more realistic representation of the signal without the artifacts imposed by non-adaptive limitations suffered by both Fourierand 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.
AB - Attributed to providing a more realistic representation of the signal without the artifacts imposed by non-adaptive limitations suffered by both Fourierand 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.
KW - Empirical Mode Decomposition (EMD)
KW - non-stationary signals
KW - Bivariate Empirical Mode Decomposition
UR - http://www.scopus.com/inward/record.url?scp=85027279734&partnerID=8YFLogxK
UR - https://link.springer.com/book/10.1007/978-3-319-56126-4
U2 - 10.1007/978-3-319-56126-4_11
DO - 10.1007/978-3-319-56126-4_11
M3 - Chapter
AN - SCOPUS:85027279734
SN - 9783319561257
SN - 9783319858326
T3 - Smart Sensors, Measurement and Instrumentation
SP - 293
EP - 319
BT - Structural Health Monitoring
A2 - Yan, Ruqiang
A2 - Chen, Xuefeng
A2 - Chandra Mukhopadhyay, Subhas
PB - Springer International Publishing AG
ER -