SF-SLSN

Versione 1.0.3 (167 KB) da aresmiki

Sparse Filtering with Single Layer and Single Node

https://github.com/aresmiki/SF-SLSN

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Aggiornato 26 lug 2021

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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

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aresmiki (2024). SF-SLSN (https://github.com/aresmiki/SF-SLSN), GitHub. Recuperato aprile 20, 2024.

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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minFunc

minFunc/logistic

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Versione	Pubblicato	Note della release
1.0.3	26 lug 2021	Change the Description
1.0.2	1 dic 2020	Add the Tags
1.0.1	1 dic 2020	Change the description
1.0.0	1 dic 2020

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MLA	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.
APA	He, L., Yi, C., Wang, D., Wang, F., & Lin, J.-hui. (2021). Optimized minimum generalized Lp/Lq deconvolution for recovering repetitive impacts from a vibration mixture. Measurement, 168, 108329. Elsevier BV. Retrieved from https://doi.org/10.1016%2Fj.measurement.2020.108329
BibTeX	@article{He_2021, doi = {10.1016/j.measurement.2020.108329}, url = {https://doi.org/10.1016%2Fj.measurement.2020.108329}, year = 2021, month = {jan}, publisher = {Elsevier {BV}}, volume = {168}, pages = {108329}, author = {Liu He and Cai Yi and Dong Wang and Feng Wang and Jian-hui Lin}, title = {Optimized minimum generalized Lp/Lq deconvolution for recovering repetitive impacts from a vibration mixture}, journal = {Measurement} }