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A sign-preserving filter for signal decomposition

C�rdenas, Bruno; Davenne, Tristan R; Garvey, Seamus

Authors

BRUNO CARDENAS Bruno.Cardenas@nottingham.ac.uk
Senior Research Fellow in Thermo-Mechanical Energy Storage

Tristan R Davenne



Abstract

There are optimization problems in which an improvement in performance or a reduction in cost can be attained if the input signal of the system is split into multiple components. Splitting the signal allows customizing the design of the system’s hardware for a narrower range of frequencies, which in turn allows making a better use of its physical properties. There exist applications that have very specific signal-splitting requirements, such as ‘counter-flow avoidance’, that conventional signal processing tools cannot meet. Accordingly, a novel ‘Sign-Preserving’ filter has been developed and is presented in this article. The underlying algorithm of the filter is comprehensively explained with the aim of facilitating its reproduction, and the aspects of its operation are thoroughly discussed. The filter has two key features: (1) it separates a discrete signal a into two components – a mostly low-frequency signal b and a predominantly high-frequency signal c such that the sum of b and c replicates exactly the original signal a and, more importantly, (2) the signs of the two output signals are equal to the sign of a at all times. The article presents two case studies which demonstrate the use of the Sign-Preserving filter for the optimization of real-life applications, in which counter-flow must be avoided: the hybridization of the battery pack of an electric vehicle and the parallelization of a packed bed thermal energy store.

Citation

Cárdenas, B., Davenne, T. R., & Garvey, S. (2018). A sign-preserving filter for signal decomposition. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, https://doi.org/10.1177/0959651818811182

Journal Article Type Article
Acceptance Date Oct 11, 2018
Online Publication Date Nov 28, 2018
Publication Date Nov 28, 2018
Deposit Date Mar 13, 2019
Publicly Available Date Mar 28, 2024
Journal Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
Print ISSN 0959-6518
Electronic ISSN 2041-3041
Publisher SAGE Publications (UK and US)
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1177/0959651818811182
Public URL https://nottingham-repository.worktribe.com/output/1635609
Publisher URL https://journals.sagepub.com/doi/10.1177/0959651818811182

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