@article{MAKHILLJEAS2020151019291,
    title = {Compression of Vibration Data by the Walsh-Hadamard Transform},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {15},
    number = {10},
    pages = {2256-2260},
    year = {2020},
    issn = {1816-949x},
    doi = {jeasci.2020.2256.2260},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2020.2256.2260},
    author = {Aime,Jean,Guy and},
    keywords = {WHT,compression,vibratory signals,storage,bandwidth,rotating},
    abstract = {Vibration signals are vectors for several pieces
of information relating to the operating status of rotating
machines. The storage and transmission of these signals
poses problems of space and bandwidth. One solution to
this problem is to compress these signals. In this research,
we compress and decompress the vibration signals formed
by the variations of vibration amplitudesof a ball bearing.
We used an algorithm based on the Walsh-Hadamard
Transform (WHT). The coefficients obtained are coded
according to Huffman coding. An evaluation of the
performance of this algorithm is made on the basis of
SNR, MFD, MSE, PRD and CR measurements. Taking
this assessment into account, the results of the method are
qualitatively and quantitatively very encouraging.}
    }