The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON MATHEMATICS
Transactions ID Number: 89-552
Full Name: Zulkifli Mohd Nopiah
Position: Senior Lecturer
Age: ON
Sex: Male
Address: Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia
Country: MALAYSIA
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E-mail address: zmn@eng.ukm.my
Other E-mails: zmn1993@gmail.com
Title of the Paper: Running Damage Extraction Technique for Identifying Fatigue Damaging Events
Authors as they appear in the Paper: Zulkifli Mohd Nopiah,Mohd Noor Baharin,Shahrum Abdullah,Muhammad Ihsan Khairir, Azli Ariffin
Email addresses of all the authors: zmn@eng.ukm.my,baharin@vlsi.eng.ukm.my,shahrum@eng.ukm.my,mihsankk@vlsi.eng.ukm.my,azli@eng.ukm.my
Number of paper pages: 10
Abstract: This paper presents the development of a new fatigue data editing technique, called Running Damage Extraction (RDE), for summarising long records of fatigue data. This technique is used to extract fatigue damaging events in the record that cause the majority of fatigue damage, whilst preserving the load cycle sequence. In this study, fatigue damaging events are identified from the characteristic of abrupt changes that exist in the fatigue data. Then, these events are combined to produce a mission signal which has equivalent statistics and fatigue damage to the original signal. The objective of this study is to observe the capability of RDE technique for summarising long records of fatigue data. For the purpose of this study, a collection of nonstationary data that exhibits random behavior was used. This random data was measured in the unit of microstrain on the lower suspension arm of a car. Experimentally, the data was collected for 60 seconds at a sampling rate !
of 500 Hz, which gave 30,000 discrete data points. Global signal statistical value indicated that the data were non Gaussian distribution in nature. The result of the study indicates that this technique is applicable in detecting and extracts fatigue damaging events that exist in fatigue data.
Keywords: Abrupt changes, fatigue data, global statistics, nonstationary data, RDE technique
EXTENSION of the file: .pdf
Special (Invited) Session: An Extraction of Fatigue Damaging Events by Using Running Damage (RDE) Technique
Organizer of the Session: 640-295
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