The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SIGNAL PROCESSING
Transactions ID Number: 89-551
Full Name: Shahrum Abdullah
Position: Associate Professor
Age: ON
Sex: Male
Address: Department of Mechanical & Materials Engineering, Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia.
Country: MALAYSIA
Tel: 03-89216518
Tel prefix:
Fax: 03-89259659
E-mail address: shahrum1@gmail.com
Other E-mails: shahrum@eng.ukm.my
Title of the Paper: Using the Hybrid Kurtosis-based Method to Correlate Strain and Vibration Signals
Authors as they appear in the Paper: Shahrum Abdullah, Nurazima Ismail, Mohd zaki Nuawi, Zulkifli mohd Nopiah, Azli Ariffin
Email addresses of all the authors: shahrum1@gmail.com, ziemaisma@yahoo.co.uk, zaki@eng.ukm.my, zmn@eng.ukm.my, azli@eng.ukm.my
Number of paper pages: 12
Abstract: This study specifically focuses on the coil spring, one of the automotive suspensions system parts. Under its service life, this component will be driven over different surface profiles that will give different displacements and vibration responses. This paper explores the correlation between the strain signals resulting from displacement and vibration responses when subjected to the variable amplitude loading. This comparative study was implemented using strain-life approach, (ε-N) and Hybrid Integrated Kurtosis-based Algorithm for Z-notch filter Technique (Hybrid I-kaz). The Hybrid I-kaz method provides a two dimensional graphical representation of the measured strain and vibration signal and Hybrid I-kaz coefficient, Zh∞ in order to measure the degree of data scattering. An experiment has been performed on an automotive suspension system machine. This study was considered test signals which were excited based on ten different frequencies that were var!
ied from 1 Hz to 10 Hz. A strain gauge of 5 mm in size and an accelerometer were mounted on the inner surface of the coil spring to measure the strain signals and vibration responses due to the loading. The time domain strain signals and vibration signals were then analysed based on the Coffin-Manson model for fatigue damage prediction and the Hybrid I-kaz method. The total fatigue damage and Hybrid I-kaz coefficients, Zh∞ for each signal of the different frequencies were compared in order to perform the correlation study. From the analysis, it was found that the strain signal was linearly proportional to the vibration responses.
Keywords: Fatigue, Vibration response, Random loading, I-kaz Hybrid, Coefficient, Correlation
EXTENSION of the file: .doc
Special (Invited) Session: Study on Correlation Between Strain and Vibration Signal Using Hybrid I-kaz Method
Organizer of the Session: 640-665
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