Fault detection of washing machine with discrete wavelet methods

T. C. Akinci, S. S. Karabeyoglu, O. Yilmaz, S. Seker

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


In the last decade, a new mathematical method has allowed scientists and engineers to view the details of time varying and transient phenomena that are not possible through conventional tools. This invention, called wavelet transform, has created revolutionary changes in the areas of signal processing, and image compression. In this study, both properly working and fault washing machine is distinguished by using discrete wavelet analysis and statistical analysis. The result of statistical analysis to distinguish the properties of both machines has been quite successful .Based on the analysis, particular energy levels are important to distinguish the machines. All the dynamics and control of electrical machines and analysis is necessary for effective control. In the study vibration dynamics of the washing machine was analyzed.

Original languageEnglish
Pages (from-to)177-182
Number of pages6
Issue number2
Publication statusPublished - 2014


  • Data analysis
  • Discrete wavelet analysis
  • Vibration
  • Washing machine


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