Hierarchical Neural Networks
Michau, G., Hu, Y., Palmé, T., & Fink, O. (2020). Feature learning for fault detection in high-dimensional condition monitoring signals. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 234(1), 104-115.
@article{michau2020feature,
title={Feature learning for fault detection in high-dimensional condition monitoring signals},
author={Michau, Gabriel and Hu, Yang and Palm{\'e}, Thomas and Fink, Olga},
journal={Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability},
volume={234},
number={1},
pages={104--115},
year={2020},
publisher={SAGE Publications Sage UK: London, England}
}
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}
}
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}
}