Yang, Zhijing and Bingham, Chris and Ling, Wing-Kuen and Gallimore, Michael and Stewart, Paul (2011) Trend extraction using empirical mode decomposition and nonuniform filter banks, with industry application. In: International Conference on Mechanical Engineering and Technology (ICMET-London 2011), November 2011, London.
Full content URL: http://dx.doi.org/10.1115/1.859896.paper76
Full text not available from this repository.
Trend extraction is an important tool for the analysis of data sequences. This paper presents a new methodology for trend extraction based on Empirical Mode Decomposition (EMD) and nonuniform filter banks. Signals are initially decomposed, through use of EMD, into a finite number of intrinsic mode functions (IMFs). The underlying trend is then obtained by adaptively selecting appropriate IMFs obtained by EMD using nonuniform filter banks. Results from experimental trials are included to the proposed method and provide an excellent mechanism for extracting trends in (possibly non-stationary) data.
|Item Type:||Conference or Workshop Item (Presentation)|
|Keywords:||Gas turbines, trend extraction, nonuniform filter banks|
|Subjects:||G Mathematical and Computer Sciences > G700 Artificial Intelligence|
H Engineering > H321 Turbine Technology
|Divisions:||College of Science > School of Engineering|
|Deposited By:||INVALID USER|
|Deposited On:||19 Aug 2012 19:35|
|Last Modified:||19 Jun 2015 11:30|
Repository Staff Only: item control page