/HELM

Hierarchical Neural Networks

Primary LanguagePythonGNU General Public License v3.0GPL-3.0

HELM

Hierarchical Neural Networks

Please cite:

Michau, Gabriel, Yang Hu, Thomas Palmé, and Olga Fink. “Feature Learning for Fault Detection in High-Dimensional Condition-Monitoring Signals.” ArXiv Preprint ArXiv:1810.05550, 2018.

@article{michau_feature_2018,
    title = {Feature learning for fault detection in high-dimensional condition-monitoring signals},
    journal = {arXiv preprint arXiv:1810.05550},
    author = {Michau, Gabriel and Hu, Yang and Palmé, Thomas and Fink, Olga},
    year = {2018},
    url = {https://arxiv.org/pdf/1810.05550.pdfl}
}

or

Michau, Gabriel, Thomas Palmé, and Olga Fink. “Deep Feature Learning Network for Fault Detection and Isolation.” In Annual Conference of the Prognostics and Health Management Society 2017. St. Petersburg, Florida, 2017.

@inproceedings{michau_deep_2017,
  author = {Michau, Gabriel and Palmé, Thomas and Fink, Olga},
  title = {Deep {Feature} {Learning} {Network} for {Fault} {Detection} and {Isolation}},
  booktitle = {Annual {Conference} of the {Prognostics} and {Health} {Management} {Society} 2017},
  address = {St. Petersburg, Florida},
  month = oct,
  year = {2017},
  url = {www.phmsociety.org/sites/phmsociety.org/files/phm_submission/2017/phmc_17_012.pdf}
}

Other application of HELM:

Michau, Gabriel, Thomas Palmé, and Olga Fink. “Fleet PHM for Critical Systems: Bi-Level Deep Learning Approach for Fault Detection.” In Proceedings of the European Conference of the PHM Society, Vol. 4. Utrecht, The Netherlands, 2018.

@inproceedings{michau_fleet_2018,
author = {Michau, Gabriel and Palmé, Thomas and Fink, Olga},
title = {Fleet {PHM} for Critical Systems: Bi-level Deep Learning Approach for Fault Detection},
booktitle = {Proceedings of the European Conference of the {PHM} Society},
volume = {4},
eventtitle = {Fourth european conference of the prognostics and health management society 2018},
location = {Utrecht, The Netherlands},
date = {2018},
url = {https://www.phmpapers.org/index.php/phme/article/download/403/phmec_18_403}
}