Application of wavelet transformation for the identification of high frequency spurious signals in step down DC-DC converter circuits experiencing intermittent chaotic patterns | Zendy

Damian Giaouris | Zendy; Bashar Zahawi | Zendy; George Mekhael El-Murr | Zendy; Volker Pickert | Zendy

Open Access

Application of wavelet transformation for the identification of high frequency spurious signals in step down DC-DC converter circuits experiencing intermittent chaotic patterns

Author(s) -

Damian Giaouris,

Bashar Zahawi,

George Mekhael El-Murr,

Volker Pickert

Publication year - 2006

Publication title -

2006 3rd iet international conference on power electronics, machines and drives - pemd 2006

Language(s) - English

Resource type - Conference proceedings

DOI - 10.1049/cp:20060138

Subject(s) - spurious relationship , chaotic , subharmonic , wavelet , transformation (genetics) , electronic engineering , dc bias , wavelet transform , computer science , electronic circuit , control theory (sociology) , physics , engineering , nonlinear system , electrical engineering , voltage , artificial intelligence , biochemistry , chemistry , control (management) , quantum mechanics , machine learning , gene

Intermittent chaotic phenomena can appear in a dc-dc step down converter when the later is coupled with spurious high frequency signals. It is therefore important to understand why and how these phenomena occur and what is their relationship with the frequency characterises of the spurious injected signals. This paper uses a fast wavelet transform to isolate the frequency of these signals even when the converter is in a chaotic or subharmonic mode of operation.

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