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Xiangchen Qian
Researcher at North China Electric Power University
Publications - 48
Citations - 644
Xiangchen Qian is an academic researcher from North China Electric Power University. The author has contributed to research in topics: Combustion & Particle. The author has an hindex of 13, co-authored 46 publications receiving 491 citations. Previous affiliations of Xiangchen Qian include University of Kent & Tianjin University.
Papers
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Journal ArticleDOI
Flow Measurement of Biomass and Blended Biomass Fuels in Pneumatic Conveying Pipelines Using Electrostatic Sensor-Arrays
Xiangchen Qian,Yong Yan +1 more
TL;DR: A novel multichannel instrumentation system with circular and arc-shaped electrostatic sensor arrays for the online continuous measurement of “mean” and “local” characteristics of blended biomass flow suggests that pure flour particles travel faster and carry more electrostatic charge than those of larger biomass particles.
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Rotational Speed Measurement Through Electrostatic Sensing and Correlation Signal Processing
TL;DR: The principle and application of electrostatic sensors and correlation signal processing techniques to real-time measurement of rotational speed and the results suggest that the distance between the electrodes and the surface of the rotating object is a key factor affecting the performance of the measurement system.
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Electrostatic sensors – Their principles and applications
TL;DR: A comprehensive review of the electrostatic sensors and sensing systems that have been developed for the measurement and monitoring of a range of process variables and conditions, and their signal conditioning electronics, signal processing methods as well as possible new applications are discussed.
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Pulverized coal flow metering on a full-scale power plant using electrostatic sensor arrays
TL;DR: In this paper, an array of three identical arc-shaped electrostatic electrodes is housed in a sensing head to derive particle flow signals, such as velocity, mass flow rate and fuel distribution among the injection pipes from the same pulverizing mill.
Journal ArticleDOI
Quantitative characterization of pulverized coal and biomass–coal blends in pneumatic conveying pipelines using electrostatic sensor arrays and data fusion techniques
TL;DR: In this article, a sensor array with circular and arc-shaped electrodes is integrated in the same sensing head to measure 'averaged' and 'localized' characteristics of pulverized fuel flow.