Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Synthesis of running RMS-induced non-Gaussian random vibration based on Weibull distribution
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.
Beihang Univ, Sch Reliabil & Syst Engn, Beijing 100191, Peoples R China..
Beihang Univ, Sch Reliabil & Syst Engn, Beijing 100191, Peoples R China..
Xielalin Consulting, SE-18463 Stockholm, Sweden..
2015 (English)In: Journal of Vibroengineering, ISSN 1392-8716, Vol. 17, no 7, 3662-3674 p.Article in journal (Refereed) Published
Resource type
Text
Abstract [en]

Gaussian signal is produced by ordinary random vibration controllers to test the products in the laboratory, while the field data usually is non-Gaussian. To synthesize non-Gaussian random vibration, both the probability density function (PDF) and the damage effects must be considered. A new method is presented in this paper to synthesize non-Gaussian random vibration that is characterized by running RMS (root mean square). The essential idea is to model the non-Gaussian signal by a Gaussian signal multiplied by an amplitude modulation function (AMF). A two-parameter Weibull distribution is used to model the PDF of the running RMS and to create the AMF. The shock response spectrum (SRS) is used to detect significant shocks within the non-Gaussian signal. A case study is presented to show that the synthesized non-Gaussian signal has the same power spectral density (PSD), kurtosis, PDF and fatigue damage spectrum (FDS) as the field data.

Place, publisher, year, edition, pages
2015. Vol. 17, no 7, 3662-3674 p.
Keyword [en]
non-Gaussian, random vibration, running RMS, Weibull distribution, fatigue damage spectrum (FDS), shock response spectrum (SRS)
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:bth-11349ISI: 000365800100023OAI: oai:DiVA.org:bth-11349DiVA: diva2:890707
Available from: 2016-01-04 Created: 2016-01-04 Last updated: 2017-03-07Bibliographically approved

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Xu, Fei
By organisation
Department of Mechanical Engineering
In the same journal
Journal of Vibroengineering
Mechanical Engineering

Search outside of DiVA

GoogleGoogle Scholar

Total: 79 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf