Bearing Fault Classification based on the Adaptive Orthogonal Transform Method
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 1
Abstract
In this work, we propose an approach based on building an adaptive base which permits to make accurate decisions for diagnosis. The orthogonal adaptive transformation consists of calculating the adaptive operator and the standard spectrum for every state, using two sets of vibration signal records for each type of fault. To classify a new signal, we calculate the spectral vector of this signal in each base. Then, the similarity between this vector and other standard spectra is computed. The experimental results show that the proposed method is very useful for improving the fault detection.
Authors and Affiliations
Mohamed Azergui, Abdenbi Abenaou, Hassane Bouzahir
Keywords
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- EP ID EP261641
- DOI 10.14569/IJACSA.2018.090151
- Views 62
- Downloads 0
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