Publication: Fault detection of washing machine with discrete wavelet methods
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Kaunas University of Technology (KTU)
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Abstract
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. DOI: http://dx.doi.org/10.5755/j01.mech.20.2.6943
Description
Journal or Series
Mechanics
ISSN
1392-1207
ISBN
Rights
OPEN
Keywords
Signal processing, Artificial intelligence, Machine Fault Diagnosis and Prognostics, data analysis, Pattern recognition (psychology), Vibration, Analytical Chemistry, Fault (geology), Engineering, FOS: Chemical sciences, Actuator, FOS: Mathematics, washing machine, Seismology, discrete wavelet analysis, Transient (computer programming), Electronic engineering, Control engineering, Physics, Statistics, Geology, Acoustics, FOS: Earth and related environmental sciences, Chemometrics in Analytical Chemistry and Food Technology, Fault Diagnosis, Digital signal processing, Computer science, Chemistry, Operating system, Control and Systems Engineering, Statistical analysis, Physical Sciences, Computer Science, Discrete wavelet transform, Fault detection and isolation, Wavelet transform, Computer Vision and Pattern Recognition, vibration, Image Denoising Techniques and Algorithms, Energy (signal processing), Wavelet, Mathematics