SF-SLSN

버전 1.0.3 (167 KB) 작성자: aresmiki
Sparse Filtering with Single Layer and Single Node
다운로드 수: 163
업데이트 날짜: 2021/7/26

This a new blind deconvolution method for recovering repetitive transients. This method can be used for bearing fault diagnosis. This method is coded by Liu He. This his Ph.D. research at the University of Southwest Jiaotong University. If you use the code in your research, please refer to the relevant literature: Liu He et.al, Optimized minimum generalized Lp/Lq deconvolution for recovering repetitive impacts from a vibration mixture, Measurement, vol. 168,https://doi.org/10.1016/j.measurement.2020.108329

인용 양식

aresmiki (2024). SF-SLSN (https://github.com/aresmiki/SF-SLSN), GitHub. 검색됨 .

He, Liu, et al. “Optimized Minimum Generalized Lp/Lq Deconvolution for Recovering Repetitive Impacts from a Vibration Mixture.” Measurement, vol. 168, Elsevier BV, Jan. 2021, p. 108329, doi:10.1016/j.measurement.2020.108329.

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