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Signal Processing for Time Domain Analysis of Impact Hammer Test Data

Ay, AM, Wang, Y and Khoo, S (2016) Signal Processing for Time Domain Analysis of Impact Hammer Test Data In: 8th European Workshop on Structural Health Monitoring (EWSHM 2016), July 5-8, 2016 in Bilbao, Spain, 2016-07-05 - 2016-07-08, Bilbao, Spain.

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The impact-hammer test is a widely known non-destructive vibration testing method to extract the modal parameters of a dynamic system. Due to the fast development of computing, timedomain analysis for data interpretation is now receiving increased attention. To provide normalised and denoised data, appropriate signal processing is indispensable. This paper presents a practical study on data normalisation and denoising. Specifically, discrete wavelet transform (DWT) denoising filter and weighted moving average (WMA) filter are applied in sequence for denoising. The signal processing results on the impact hammer test of a steel frame are shown to demonstrate the effectiveness of the proposed methodology.

Item Type: Conference or Workshop Item (Conference Paper)
Subjects : Civil Engineering
Divisions : Surrey research (other units)
Authors :
Ay, AM
Khoo, S
Date : 5 July 2016
Uncontrolled Keywords : Time-domain, Signal processing, Denoising, Discrete Wavelet Transform, Weighted moving average, Henderson 13-term
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:55
Last Modified : 23 Jan 2020 18:59

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