Anomaly detection in SHPs

Intelligent fault diagnosis based on Isolation Forest algorithm for Small Hydroelectric Plants (SHPs).

Requirements

The following softwares/packages are required for running the scripts:

• Python 3.7.6
• SciPy 1.4.1
• Scikit-learn 0.22.1
• Pandas 1.0.1
• NumPy 1.18.1
• Matplotlib 3.1.3

Files

1. data/faults.csv - all registered faults during the comprised period;
2. data/test.csv - contains unhealthy/abnormal operation state. Includes 12h operation data prior failure;
3. data/train.csv - contains healthy operation state;
4. isolation_forest.py - contains script for simulating isolation forest model, PCA and KICA-PCA methods;
5. results.csv - results file generated from isolation_forest.py execution.