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

Abstract

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.

Vibration Signal Processing for Multirotor UAVs Fault Diagnosis: Filtering or Multiresolution Analysis?

“…The CWT provides more precision in signal processing; however, it is potentially endlessly redundant, resulting in a significant amount of irrelevant information and making it unsustainable [58]. The DWT was developed to address this issue by only scaling and altering the main mother wavelet at discrete points, making it more efficient and practical for many…”

Development of a Condition Monitoring Algorithm for Industrial Robots based on Artificial Intelligence and Signal Processing Techniques

“…The above Equation 12is called the continuous wavelet transform (CWT) and offers greater accuracy in signal analysis; however, theoretically it is infinitely redundant, which means a significant amount of unnecessary information is produced when it is implemented, and such it is impractical [38]. The redundancy problem is a result of the continuous scaling and shifting of the mother wavelet.…”