Dual-layer optimized selective information fusion using multi-source multi-component mechanical signals for mill load parameters forecasting-Reference-Cited by-同舟云学术

Dual-layer optimized selective information fusion using multi-source multi-component mechanical signals for mill load parameters forecasting

Published:2020-01 Issue: Volume:135 Page:106371
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Tang Jian^ORCID,Qiao Junfei,Liu Zhuo,Sheng Ning,Yu Wen,Yu Gang

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference45 articles.

1. Intelligent optimal-setting control for grinding circuits of mineral processing;Zhou;IEEE Trans. Autom. Sci. Eng.,2019

2. Integrated optimization for the automation systems of mineral processing;Chai;IEEE Trans. Autom. Sci. Eng.,2014

3. Mechanism characteristic analysis and soft measuring method review for ball mill load based on mechanical vibration and acoustic signals in the grinding process;Tang;Miner. Eng.,2018

4. Low-pass filters and differential tympanal tuning in a paleotropical bushcricket with an unusually low frequency call;Rajaraman;J. Exp. Biol.,2013

5. Effects of negative middle ear pressure on wideband acoustic immittance in normal-hearing adults;Robinson;Ear Hear,2016

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-source unsupervised domain adaptive mill load forecasting method based on deep learning and fusion features;Minerals Engineering;2024-04

2. Heterogeneous selective ensemble learning model for mill load parameters forecasting by using multiscale mechanical frequency spectrum;Soft Computing;2022-10-11

3. Prediction of dioxin emission from municipal solid waste incineration based on expansion, interpolation, and selection for small samples;Journal of Environmental Chemical Engineering;2022-10

4. Used Mobile Phone Recognition Method Based on Differential Evolution - Deep Forest;2021 33rd Chinese Control and Decision Conference (CCDC);2021-05-22

5. On investigation of the Bayesian anomaly in multiple imprecise dependent information aggregation for system reliability evaluation;International Journal of Intelligent Systems;2021-03-08