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Anomaly Detection by Principal Component Analysis and Autoencoder Approach
2021
Several different approach are employed to identify the abnormal events in some Advanced Photon Source (APS) operation archived dataset, where dimensionality reduction are performed by either principal component analysis or autoencoder artificial neural network. It is observed that the APS stored beam dump event, which is triggered by magnet power supply fault, may be predicted by analyzing the magnets capacitor temperatures dataset. There is reasonable agreement among two principal component
doi:10.18429/jacow-ipac2021-tupab061
fatcat:pw3k6lhrzvfknnbvmoutxdmpmu