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HUMS2023 Data Challenge Result Submission

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arxiv 2307.03871 v2 pith:4WEHS3EI submitted 2023-07-08 cs.CV

Dhiraj Neupane , Lakpa Dorje Tamang , Ngoc Dung Huynh , Mohamed Reda Bouadjenek , Sunil Aryal This is my paper · ORCID
classification cs.CV
keywords implementedmethodanalyzingarimaautoregressiveaveragechallengecontinuous
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We implemented a simple method for early detection in this research. The implemented methods are plotting the given mat files and analyzing scalogram images generated by performing Continuous Wavelet Transform (CWT) on the samples. Also, finding the mean, standard deviation (STD), and peak-to-peak (P2P) values from each signal also helped detect faulty signs. We have implemented the autoregressive integrated moving average (ARIMA) method to track the progression.

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