predictive-maintenance-python
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intel-iot-devkit
sides=[3,2,4,7,5,12,11,13,15,16,14,14] sides = sorted(sides, reverse=True) smax=0 for i in range(len(sides)): for j in range(i + 1, len(sides)): for k in range(j + 1, len(sides)): a = sides[i] b = sides[j]...
I am not able to understand how are you able to predict which bearing is suspected to fail. What is the logic behind your assumption to label them as passed...
Hi, Thanks for sharing. Will you submit codes for: - Kmeans_clustering - GMM Thanks
