Running damage extraction technique for identifying fatigue damaging events

Research output: Contribution to journalArticle

7 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)324-333
Number of pages10
JournalWSEAS Transactions on Mathematics
Volume9
Issue number5
Publication statusPublished - May 2010

Fingerprint

Fatigue
Damage
Fatigue of materials
Fatigue Damage
Fatigue damage
Gaussian distribution
Discrete Data
Normal Distribution
Railroad cars
Statistics
Sampling
Suspensions
Cycle
Unit

Keywords

  • Abrupt changes
  • Fatigue data
  • Global statistics
  • Nonstationary data
  • RDE technique

ASJC Scopus subject areas

  • Mathematics(all)

Cite this

Running damage extraction technique for identifying fatigue damaging events. / Mohd Nopiah, Zulkifli; Baharin, M. N.; Abdullah, Shahrum; Khairir, M. I.; Mohd Ihsan, Ahmad Kamal Ariffin.

In: WSEAS Transactions on Mathematics, Vol. 9, No. 5, 05.2010, p. 324-333.

Research output: Contribution to journalArticle

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