Statistical optimisation techniques in fatigue signal editing problem

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Success in fatigue signal editing is determined by the level of length reduction without compromising statistical constraints. A great reduction rate can be achieved by removing small amplitude cycles from the recorded signal. The long recorded signal sometimes renders the cycle-to-cycle editing process daunting. This has encouraged researchers to focus on the segment-based approach. This paper discusses joint application of the Running Damage Extraction (RDE) technique and single constrained Genetic Algorithm (GA) in fatigue signal editing optimisation.. In the first section, the RDE technique is used to restructure and summarise the fatigue strain. This technique combines the overlapping window and fatigue strain-life models. It is designed to identify and isolate the fatigue events that exist in the variable amplitude strain data into different segments whereby the retention of statistical parameters and the vibration energy are considered. In the second section, the fatigue data editing problem is formulated as a constrained single optimisation problem that can be solved using GA method. The GA produces the shortest edited fatigue signal by selecting appropriate segments from a pool of labelling segments. Challenges arise due to constraints on the segment selection by deviation level over three signal properties, namely cumulative fatigue damage, root mean square and kurtosis values. Experimental results over several case studies show that the idea of solving fatigue signal editing within a framework of optimisation is effective and automatic, and that the GA is robust for constrained segment selection.

Original languageEnglish
Title of host publication2nd ISM International Statistical Conference 2014, ISM 2014
Subtitle of host publicationEmpowering the Applications of Statistical and Mathematical Sciences
EditorsNor Aida Zuraimi Md Noar, Roslinazairimah Zakaria, Wan Nur Syahidah Wan Yusoff, Mohd Sham Mohamad, Mohd Rashid Ab Hamid
PublisherAmerican Institute of Physics Inc.
Pages776-786
Number of pages11
ISBN (Electronic)9780735412811
DOIs
Publication statusPublished - 1 Jan 2015
Event2nd ISM International Statistical Conference 2014: Empowering the Applications of Statistical and Mathematical Sciences, ISM 2014 - Kuantan, Pahang, Malaysia
Duration: 12 Aug 201414 Aug 2014

Publication series

NameAIP Conference Proceedings
Volume1643
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Other

Other2nd ISM International Statistical Conference 2014: Empowering the Applications of Statistical and Mathematical Sciences, ISM 2014
CountryMalaysia
CityKuantan, Pahang
Period12/8/1414/8/14

Fingerprint

editing
optimization
genetic algorithms
fatigue (materials)
damage
cycles
kurtosis
marking
deviation
vibration

Keywords

  • constraints
  • editing
  • fatigue signal
  • genetic algorithms
  • optimization
  • Running damage extraction technique

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Mohd Nopiah, Z., Osman, M. H., Baharin, N., & Abdullah, S. (2015). Statistical optimisation techniques in fatigue signal editing problem. In N. A. Z. M. Noar, R. Zakaria, W. N. S. W. Yusoff, M. S. Mohamad, & M. R. A. Hamid (Eds.), 2nd ISM International Statistical Conference 2014, ISM 2014: Empowering the Applications of Statistical and Mathematical Sciences (pp. 776-786). (AIP Conference Proceedings; Vol. 1643). American Institute of Physics Inc.. https://doi.org/10.1063/1.4907527

Statistical optimisation techniques in fatigue signal editing problem. / Mohd Nopiah, Zulkifli; Osman, Mohd Haniff; Baharin, N.; Abdullah, Shahrum.

2nd ISM International Statistical Conference 2014, ISM 2014: Empowering the Applications of Statistical and Mathematical Sciences. ed. / Nor Aida Zuraimi Md Noar; Roslinazairimah Zakaria; Wan Nur Syahidah Wan Yusoff; Mohd Sham Mohamad; Mohd Rashid Ab Hamid. American Institute of Physics Inc., 2015. p. 776-786 (AIP Conference Proceedings; Vol. 1643).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mohd Nopiah, Z, Osman, MH, Baharin, N & Abdullah, S 2015, Statistical optimisation techniques in fatigue signal editing problem. in NAZM Noar, R Zakaria, WNSW Yusoff, MS Mohamad & MRA Hamid (eds), 2nd ISM International Statistical Conference 2014, ISM 2014: Empowering the Applications of Statistical and Mathematical Sciences. AIP Conference Proceedings, vol. 1643, American Institute of Physics Inc., pp. 776-786, 2nd ISM International Statistical Conference 2014: Empowering the Applications of Statistical and Mathematical Sciences, ISM 2014, Kuantan, Pahang, Malaysia, 12/8/14. https://doi.org/10.1063/1.4907527
Mohd Nopiah Z, Osman MH, Baharin N, Abdullah S. Statistical optimisation techniques in fatigue signal editing problem. In Noar NAZM, Zakaria R, Yusoff WNSW, Mohamad MS, Hamid MRA, editors, 2nd ISM International Statistical Conference 2014, ISM 2014: Empowering the Applications of Statistical and Mathematical Sciences. American Institute of Physics Inc. 2015. p. 776-786. (AIP Conference Proceedings). https://doi.org/10.1063/1.4907527
Mohd Nopiah, Zulkifli ; Osman, Mohd Haniff ; Baharin, N. ; Abdullah, Shahrum. / Statistical optimisation techniques in fatigue signal editing problem. 2nd ISM International Statistical Conference 2014, ISM 2014: Empowering the Applications of Statistical and Mathematical Sciences. editor / Nor Aida Zuraimi Md Noar ; Roslinazairimah Zakaria ; Wan Nur Syahidah Wan Yusoff ; Mohd Sham Mohamad ; Mohd Rashid Ab Hamid. American Institute of Physics Inc., 2015. pp. 776-786 (AIP Conference Proceedings).
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