Predictive-Maintance-Model

A requirement to implement a degradation model for an industrial machine and predict the failures beforehand. Malfunctioning of machines are captured here as anomalies and failures and its related data are captured here as outliers

Dependencies

numpy
scikit-learn > 0.19.1
pandas > 0.20.3

Dataset

pickel files of the dataset: https://www.dropbox.com/s/jt0nsqsmqxm8wz4/pickle.rar?dl=0

Dataset structure (Time Synchronized)

Architecture

Results of anomaly and outlier detection

Degradation Model

The degradation model for remaining useful life estimation can be found here