Machine learning assisted measurement of solid mass flow rate in horizontal pneumatic conveying by acoustic emission detection
出版年份 2020 全文链接
标题
Machine learning assisted measurement of solid mass flow rate in horizontal pneumatic conveying by acoustic emission detection
作者
关键词
Solid mass flow rate, Pneumatic conveying, Acoustic emission detection, Machine learning, Standardized method
出版物
CHEMICAL ENGINEERING SCIENCE
Volume 229, Issue -, Pages 116083
出版商
Elsevier BV
发表日期
2020-08-29
DOI
10.1016/j.ces.2020.116083
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- A machine learning approach for electrical capacitance tomography measurement of gas-solid fluidized beds
- (2019) Qiang Guo et al. AICHE JOURNAL
- Flow regime identification in horizontal pneumatic conveying by nonintrusive acoustic emission detection
- (2019) Peng Zhang et al. AICHE JOURNAL
- Multiscale Analysis of Flow Patterns in the Dense‐Phase Pneumatic Conveying of Pulverized Coal
- (2019) Yong Jin et al. AICHE JOURNAL
- Characteristics and formation mechanism of plug flow in the industrial vertical pipeline of dense-phase pneumatic conveying of pulverized coal
- (2019) Yong Jin et al. CHEMICAL ENGINEERING SCIENCE
- Machine learning meets continuous flow chemistry: Automated optimization towards the Pareto front of multiple objectives
- (2018) Artur M. Schweidtmann et al. CHEMICAL ENGINEERING JOURNAL
- Energy and Water Management for Industrial Large-Scale Water Networks: A Systematic Simultaneous Optimization Approach
- (2018) Xiaodong Hong et al. ACS Sustainable Chemistry & Engineering
- Heat Transfer Blocks Diagram: A Novel Tool for Targeting and Design of Heat Exchanger Networks Inside Heat Integrated Water Allocation Networks
- (2018) Xiaodong Hong et al. ACS Sustainable Chemistry & Engineering
- The promise of artificial intelligence in chemical engineering: Is it here, finally?
- (2018) Venkat Venkatasubramanian AICHE JOURNAL
- Acoustic signal processing with robust machine learning algorithm for improved monitoring of particulate solid materials in a gas flowline
- (2018) Kuda Tijjani Aminu et al. FLOW MEASUREMENT AND INSTRUMENTATION
- Multi-scale analysis of acoustic emission signals in dense-phase pneumatic conveying of pulverized coal at high pressure
- (2016) Lelu He et al. AICHE JOURNAL
- Solid-Mass Flow-Rate Prediction in Dense-Phase Pneumatic Conveying of Pulverized Coal by a Venturi Device
- (2016) Haifeng Lu et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Experimental investigations into the flow characteristics of pneumatically conveyed biomass particles using an electrostatic sensor array
- (2015) James Robert Coombes et al. FUEL
- Acoustic Analysis of Particle–Wall Interaction and Detection of Particle Mass Flow Rate in Vertical Pneumatic Conveying
- (2014) Lelu He et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Multiphase flow pattern recognition in pipeline–riser system by statistical feature clustering of pressure fluctuations
- (2013) Jing Ye et al. CHEMICAL ENGINEERING SCIENCE
- Multi-scale particle dynamics of low air velocity in a horizontal self-excited gas–solid two-phase pipe flow
- (2013) Yan Zheng et al. INTERNATIONAL JOURNAL OF MULTIPHASE FLOW
- Resolution of structure characteristics of AE signals in multiphase flow system-From data to information
- (2009) Yi-Jun He et al. AICHE JOURNAL
- Velocity measurement of pneumatically conveyed particles through digital imaging
- (2008) Ding Song et al. SENSORS AND ACTUATORS A-PHYSICAL
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now