Comparative study of signal multi-scrambling

Name: Comparative study of signal multi-scrambling
Price: 84.46 AUD
Availability: OutOfStock
ISBN: 9786208837594

Dailia Benmahdi

$105.95 $84.46

Paperback

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English

Our Knowledge Publishing
09 February 2026

Classical mechanics

Summary
Details

To detect a bearing fault, it is useful to use temporal and spectral analysis. These enable fault detection, but do not determine the nature and severity of the fault. This requires a priori knowledge of the fault characteristics and kinematic parameters of the machine. To overcome this problem, an unsupervised OPTICS classification method has been proposed for diagnosing real and simulated faults. However, dynamic classification methods and even signal processing are influenced by several parameters, such as pre-processing methods to reduce or cancel noise. For this reason, our work is based on a comparative study of two denoising methods: wavelet filtering and Fourier transform filtering (FFT).

By: Dailia Benmahdi
Imprint: Our Knowledge Publishing
Dimensions: Height: 229mm, Width: 152mm, Spine: 4mm
Weight: 109g
ISBN: 9786208837594
ISBN 10: 6208837596
Pages: 72
Publication Date: 09 February 2026
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Active