@inproceedings{7a7d1ed6bc95458391ee39eef86889a6,
title = "Fault Detection and Isolation Based on Improved Latent Dirichlet Allocation for Planetary Gearbox",
abstract = "A new fault diagnosis algorithm for planetary gearbox based on improved Latent Dirichlet Allocation (LDA) is proposed. The conventional LDA requires the number of latent topics as prior knowledge, which is usually not exactly known. To circumvent this issue, improved LDA is proposed by combining the Chinese Restaurant Process mixture model with LDA, avoiding the shortcomings of the conventional LDA. The improved LDA is then applied to planetary gearbox for fault detection and isolation. Finally, simulations are conducted to verify the effectiveness of the proposed method.",
keywords = "Latent Dirichlet Allocation, fault diagnosis, planetary gearbox, topic model",
author = "Jingyuan Wang and Xianghua Wang and Xiangrong Wang and Jiegang Wang",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Unmanned Systems, ICUS 2022 ; Conference date: 28-10-2022 Through 30-10-2022",
year = "2022",
doi = "10.1109/ICUS55513.2022.9986898",
language = "英语",
series = "Proceedings of 2022 IEEE International Conference on Unmanned Systems, ICUS 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1350--1355",
editor = "Rong Song",
booktitle = "Proceedings of 2022 IEEE International Conference on Unmanned Systems, ICUS 2022",
address = "美国",
}