The Joint Accelerator Conferences Website (JACoW) is an international collaboration that publishes the proceedings of accelerator conferences held around the world.
@inproceedings{sun:ipac2021-tupab061,
author = {Y.P. Sun},
title = {{Anomaly Detection by Principal Component Analysis and Autoencoder Approach}},
booktitle = {Proc. IPAC'21},
pages = {1502--1504},
eid = {TUPAB061},
language = {english},
keywords = {network, operation, power-supply, storage-ring, photon},
venue = {Campinas, SP, Brazil},
series = {International Particle Accelerator Conference},
number = {12},
publisher = {JACoW Publishing, Geneva, Switzerland},
month = {08},
year = {2021},
issn = {2673-5490},
isbn = {978-3-95450-214-1},
doi = {10.18429/JACoW-IPAC2021-TUPAB061},
url = {https://jacow.org/ipac2021/papers/tupab061.pdf},
note = {https://doi.org/10.18429/JACoW-IPAC2021-TUPAB061},
abstract = {{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 analysis based approaches and the autoencoder artificial neural network approach, on predicting future overall system fault which may result in a stored beam dump in the APS storage ring.}},
}