LahiruJayasinghe / Machine Failure Detection
PCA and DBSCAN based anomaly and outlier detection method for time series data.
Stars: ✭ 32
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python
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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
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