Spectral analysis is a technique of time-series analysis that decomposes signals into linear combinations of harmonic components. Rooted in the 19th century, spectral analysis gained …
RX Gao, R Yan, RX Gao, R Yan - Wavelets: theory and applications for …, 2011 - Springer
To ensure safe and economical operation and product quality, manufacturing machines and processes are constantly monitored and evaluated for their working conditions, on the basis …
The diagnosis of bearing faults in rotating machines working with variable speed, such as wind turbines, gearboxes, and mine excavators, represents a challenge when using …
MK Babouri, N Ouelaa, T Kebabsa… - The International Journal of …, 2021 - Springer
The early detection of defects in rotating machines before their severity reaches an intolerable threshold has become the priority of the maintenance crew, hence the need to …
J Yao, SS Oren, I Adler - 37th Annual Hawaii International …, 2004 - ieeexplore.ieee.org
We formulate a two-settlement equilibrium in competitive electricity markets as a subgame- perfect Nash equilibrium in which each generation firm solves a Mathematical Program with …
Development of new sensors and digital processors has provided opportunity for identification of nonlinear systems. Vibration measurements have become standard for …
M Song - Contemporary Mathematics, 2006 - books.google.com
Wavelets provide a powerful and remarkably flexible set of tools for handling fundamental problems in science and engineering, such as audio de-noising, signal compression, object …
Signal transformation is a mathematical tool commonly applied in signal processing. It maps a mathematical function or a physical signal from one domain into another to reveal …
L Guan, Y Du, L Li - SPE Annual Technical Conference and Exhibition …, 2004 - onepetro.org
Wavelet is first introduced by Alfred Haar in 1910, but the development of wavelet was very slow until the middle of 1980s. In 1984, Jean Morlet made the wavelet rebirth by developing …