@inproceedings{7c61ab57e7c24656a3811966839cd087,
title = "Weighted Basis Pursuit Denoising Algorithm and Its Application in Gear Fault Diagnosis",
abstract = "In order to improve the fault signature extracting performance in signal processing for gearboxes' fault diagnosis, a weighted Basis Pursuit Denoising(BPD) algorithm is proposed. The algorithm introduces weighted matrix into classical BPD model which picks small threshold values for target frequencies letting them stand out in the spectrum after iteration. The algorithm is verified by both simulation signal and an actual gear fault signal from a test bench, in which the algorithm shows great performance and excellent capability of extracting signal feature of gear fault under complex interference and strong noises distraction.",
keywords = "ISTA, gear fault diagnosis, signal processing, sparse representation, weighted Basis Pursuit Denoising",
author = "Jianghan Zhou and Shibin Wang and Chaowei Tong and Zhibin Zhao and Xuefeng Chen",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2nd International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2021 ; Conference date: 21-10-2021 Through 23-10-2021",
year = "2021",
doi = "10.1109/ICSMD53520.2021.9670855",
language = "英语",
series = "ICSMD 2021 - 2nd International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ICSMD 2021 - 2nd International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence",
}