☆ 4.7 Article

Ring-Rod Detection Array for GasSolid Flow Pattern Based on Electrostatic Induction Principle

IEEE SENSORS JOURNAL (2023)

Related references

Note: Only part of the references are listed.

Article Engineering, Multidisciplinary

A gas-solid flow pattern identification algorithm based on cross-rod electrostatic sensor array

Yuang Wang et al.

Summary: This study analysed the sensitivity deficiencies of a single electrode and designed a more sensitive electrostatic sensor array structure to accurately identify gas-solid two-phase flow patterns. The experimental results show that the proposed algorithm outperforms traditional methods in terms of identification accuracy.

MEASUREMENT SCIENCE AND TECHNOLOGY (2023)

Add to Collection

Article Engineering, Electrical & Electronic

Image Reconstruction for Electrostatic Tomography With One-Dimensional Prior Knowledge Based Residual Network

Chao Wang et al.

Summary: This study proposes a novel 1-D prior knowledge-based residual network (PK-ResNet) to improve the quality of reconstructed images in Electrostatic Tomography (EST). By incorporating the prior knowledge of EST into the loss function, the performance of the network is enhanced.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2022)

Add to Collection

Article Engineering, Multidisciplinary

Research on spatial filtering velocity measurement method for an interdigital electrostatic sensor

Heming Gao et al.

Summary: Particle velocity is an important parameter for describing gas-solid two-phase flows. This study proposes a new type of interdigital electrostatic sensor to solve the problem of the spatial filtering effect caused by the spatial distribution of solid particles. Through finite element simulation and experimental verification, it is shown that the sensor eliminates the influence of particle spatial position and particle size on velocity measurement results. The relative error of the measurement system is less than 5% in the velocity range of 2.97 m/s to 4.95 m/s, and the relative standard deviation of repeated measurements is within 3%.

MEASUREMENT SCIENCE AND TECHNOLOGY (2022)

Add to Collection

Proceedings Paper Instruments & Instrumentation

Measurement of cross-sectional velocity distribution of pneumatically conveyed particles in a square-shaped pipe through electrostatic sensing and Gaussian process regression

Yongyue Wang et al.

Summary: This paper presents a novel approach for the measurement of cross-sectional particle velocity distribution in a square-shaped pipe using sensors and Gaussian process regression (GPR). The results suggest that this approach is feasible and can accurately measure the velocity of particles in large diameter pipes.

2022 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC 2022) (2022)

Add to Collection

Article Engineering, Chemical

Measurement of velocity and concentration profiles of pneumatically conveyed particles in a square-shaped pipe using electrostatic sensor arrays

Xiangchen Qian et al.

Summary: The study implemented an inner-inserted electrostatic sensor array to measure the cross-sectional velocity and concentration profiling of particles in a pneumatic conveying pipe. The research analyzed the impact of particle flow dynamics in different pipe shapes and flow directions.

POWDER TECHNOLOGY (2021)

Add to Collection

Article Engineering, Mechanical

An adaptive CEEMD-ANN algorithm and its application in pneumatic conveying flow pattern identification

Jiming Li et al.

Summary: In this paper, an algorithm for identifying flow patterns in a pneumatic conveying pipeline using a combination of CEEMD and BP neural network is proposed. By selecting the IMF energy feature as the input of BP neural network, an accurate flow pattern discrimination rate is achieved. Experimental results demonstrate that the proposed algorithm can efficiently recognize flow patterns.

FLOW MEASUREMENT AND INSTRUMENTATION (2021)

Add to Collection

Proceedings Paper Engineering, Electrical & Electronic

Image Reconstruction for Electrostatic Tomography Based on Residual Network Considering the Prior Knowledge of Boundary Measurement

Chao Wang et al.

Summary: A novel electrostatic tomography method based on a residual network (ResNet) model is proposed in this paper, achieving high accuracy in image reconstruction through a new loss function and dataset construction. Even with added Gaussian white noise, the model can still accurately represent the sample position.

2021 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC 2021) (2021)

Add to Collection

Article Engineering, Electrical & Electronic

Electrostatic Sensor for Determining the Characteristics of Particles Moving From Deposition to Suspension in Pneumatic Conveying

Chao Wang et al.

IEEE SENSORS JOURNAL (2020)

Add to Collection

Article Engineering, Chemical

Electrostatic induced charge signal extraction based on waveform characteristic in time domain

Chao Wang et al.

POWDER TECHNOLOGY (2020)

Add to Collection

Article Mathematics, Interdisciplinary Applications

ECT Image Reconstruction Algorithm Based on Multiscale Dual-Channel Convolutional Neural Network

Lili Wang et al.

COMPLEXITY (2020)

Add to Collection

Article Engineering, Electrical & Electronic

Cross-Correlation Sensitivity-Based Electrostatic Direct Velocity Tomography

Chao Wang et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)

Add to Collection

Article Engineering, Electrical & Electronic

Electrostatic Coupled Capacitance Sensor for Gas Solid Flow Measurement

Jian Li et al.

IEEE SENSORS JOURNAL (2020)

Add to Collection

Article Engineering, Multidisciplinary

Particle velocity measurement method of dense-phase gas-solid flow based on an electrostatic sensor array

Heming Gao et al.

MEASUREMENT SCIENCE AND TECHNOLOGY (2019)

Add to Collection

Article Instruments & Instrumentation

Investigation on the optimized algorithm for electrostatic tomography

H. M. Gao et al.

REVIEW OF SCIENTIFIC INSTRUMENTS (2018)

Add to Collection

Article Engineering, Chemical

Signal decoupling and analysis from inner flush-mounted electrostatic sensor for detecting pneumatic conveying particles

Chao Wang et al.

POWDER TECHNOLOGY (2017)

Add to Collection

Article Engineering, Electrical & Electronic

Measurement of Velocity and Concentration Profiles of Pneumatically Conveyed Particles Using an Electrostatic Sensor Array

James Robert Coombes et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2016)

Add to Collection

Article Engineering, Multidisciplinary

Cross-correlation focus method with an electrostatic sensor array for local particle velocity measurement in dilute gas-solid two-phase flow

Chao Wang et al.

MEASUREMENT SCIENCE AND TECHNOLOGY (2015)

Add to Collection

Article Engineering, Mechanical

Study on the spatial filtering and sensitivity characteristic of inserted electrostatic sensors for the measurement of gas-solid two-phase. flow parameters

Kan Zhe et al.

FLOW MEASUREMENT AND INSTRUMENTATION (2013)

Add to Collection

Article Engineering, Multidisciplinary

A novel ECT-EST combined method for gas-solids flow pattern and charge distribution visualization

B. Zhou et al.

MEASUREMENT SCIENCE AND TECHNOLOGY (2013)

Add to Collection

Article Engineering, Electrical & Electronic

Investigations into sensing characteristics of electrostatic sensor arrays through computational modelling and practical experimentation

Chuanlong Xu et al.

JOURNAL OF ELECTROSTATICS (2012)

Add to Collection

Article Instruments & Instrumentation

Fusion Research of Electrical Tomography with Other Sensors for Two-phase Flow Measurement

Xiang Deng et al.

MEASUREMENT SCIENCE REVIEW (2012)

Add to Collection

Article Nuclear Science & Technology

Image reconstruction in electrostatic tomography using a priori knowledge from ECT

Bin Zhou et al.

NUCLEAR ENGINEERING AND DESIGN (2011)

Add to Collection

© Peeref 2019-2024. All rights reserved.