Comparative study on data editing techniques for fatigue time series signals

Zulkifli Mohd Nopiah, Shahrum Abdullah, M. N. Baharin, T. E. Putra, S. N. Sahadan, K. O. Willis

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

8 Citations (Scopus)

Abstract

This paper presents the comparative study on three types of fatigue data editing technique for summarising long records of fatigue data. Two of techniques were developed based on time-frequency domain (continous wavelet and discrete wavelet) and another one technique was developed based on time domain. These three techniques are used to extract fatigue damaging events in the record that cause the majority of fatigue damage, whilst preserving the load cycle sequence in the data. The objective of this study is to observe the capability of each technique in summarising long records of fatigue data. For the purpose of this study, two set of nonstationary data that exhibits random behaviour was used. This random data was measured in microstrain unit on the SAE1045 material that were used as a lower suspension arm of a car. Experimentally, the data was collected for 60 seconds at sampling rate of 500Hz, which gave 30, 000 discrete data points. The result of the study indicates that all techniques are applicable in detecting and extracts fatigue damaging events that exist in the fatigue data. However, it was found that continous wavelet can extract the data better than the other technique based the shorten signals, retention of damage and statistical parameter.

Original languageEnglish
Title of host publicationAdvanced Materials Research
Pages1681-1684
Number of pages4
Volume146-147
DOIs
Publication statusPublished - 2011
Event2010 International Conference on Advances in Materials and Manufacturing Processes, ICAMMP 2010 - Shenzhen
Duration: 6 Nov 20108 Nov 2010

Publication series

NameAdvanced Materials Research
Volume146-147
ISSN (Print)10226680

Other

Other2010 International Conference on Advances in Materials and Manufacturing Processes, ICAMMP 2010
CityShenzhen
Period6/11/108/11/10

Fingerprint

Time series
Fatigue of materials
Fatigue damage
Railroad cars
Sampling

Keywords

  • Damage
  • Fatigue data editing
  • Kurtosis
  • Root mean square (r.m.s)

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Mohd Nopiah, Z., Abdullah, S., Baharin, M. N., Putra, T. E., Sahadan, S. N., & Willis, K. O. (2011). Comparative study on data editing techniques for fatigue time series signals. In Advanced Materials Research (Vol. 146-147, pp. 1681-1684). (Advanced Materials Research; Vol. 146-147). https://doi.org/10.4028/www.scientific.net/AMR.146-147.1681

Comparative study on data editing techniques for fatigue time series signals. / Mohd Nopiah, Zulkifli; Abdullah, Shahrum; Baharin, M. N.; Putra, T. E.; Sahadan, S. N.; Willis, K. O.

Advanced Materials Research. Vol. 146-147 2011. p. 1681-1684 (Advanced Materials Research; Vol. 146-147).

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

Mohd Nopiah, Z, Abdullah, S, Baharin, MN, Putra, TE, Sahadan, SN & Willis, KO 2011, Comparative study on data editing techniques for fatigue time series signals. in Advanced Materials Research. vol. 146-147, Advanced Materials Research, vol. 146-147, pp. 1681-1684, 2010 International Conference on Advances in Materials and Manufacturing Processes, ICAMMP 2010, Shenzhen, 6/11/10. https://doi.org/10.4028/www.scientific.net/AMR.146-147.1681
Mohd Nopiah Z, Abdullah S, Baharin MN, Putra TE, Sahadan SN, Willis KO. Comparative study on data editing techniques for fatigue time series signals. In Advanced Materials Research. Vol. 146-147. 2011. p. 1681-1684. (Advanced Materials Research). https://doi.org/10.4028/www.scientific.net/AMR.146-147.1681
Mohd Nopiah, Zulkifli ; Abdullah, Shahrum ; Baharin, M. N. ; Putra, T. E. ; Sahadan, S. N. ; Willis, K. O. / Comparative study on data editing techniques for fatigue time series signals. Advanced Materials Research. Vol. 146-147 2011. pp. 1681-1684 (Advanced Materials Research).
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