  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.
