@article{MAKHILLIJSSCEA201710328805,
    title = {Early Detection of Defect in Gear Systems using Autocorrelation of Morlet Wavelet
Transforms (AMWT)},
    journal = {International Journal of System Signal Control and Engineering Application},
    volume = {10},
    number = {3},
    pages = {105-112},
    year = {2017},
    issn = {1997-5422},
    doi = {ijssceapp.2017.105.112},
    url = {https://makhillpublications.co/view-article.php?issn=1997-5422&doi=ijssceapp.2017.105.112},
    author = {M.,M.,K. and},
    keywords = {Diagnosis,early detection,AMWT,wavelet transform,vibration signal},
    abstract = {The gears are in high demand in the
transmission systems of mechanical energy. The role of
the gears is to transmit motion or power between two trees
at a constant speed ratio. The materials used will vary
according to the uses. In this study, we propose a new
method for the fault diagnosis of a gear system made of
two toothed wheels operating at constant conditions. This
method is based on the Autocorrelation of Morlet Wavelet
Transforms (AMWT). It is applied on real gear signals for
the purpose of early detection of defects present in an
experimental tested gear system.}
    }