scispace - formally typeset
Search or ask a question
Author

Xiangchen Qian

Bio: Xiangchen Qian is an academic researcher from North China Electric Power University. The author has contributed to research in topics: Particle & Flow measurement. 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
More filters
Journal ArticleDOI
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.
Abstract: Key parameters such as particle velocity, concentration of solid particles, and stability of pulverized fuel flow in fuel injection pipelines are useful to power plant operators to detect fuel supply problems at an early stage. This paper presents the use of 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. Experimental tests were conducted on a pneumatic conveying test rig under various flow conditions on both horizontal and vertical pipes. The biomass fuels tested include willow, wood, and bark. A ground grain (flour) was used to replicate a biomass of finer particles. The results suggest that, due to the physical differences between the constituent biomass fuels, the characteristics of the flow depend on the proportion of larger biomass particles in the blend. It is found that pure flour particles travel faster and carry more electrostatic charge than those of larger biomass particles. As more biomass particles are added to the flow, the overall velocity of the flow slows down, the electrostatic charge level decreases, and the flow becomes less stable compared to the pure flour flow. Particles in the vertical pipe are found to be more evenly distributed, and the particle velocity profile across the pipe cross section is more regular when compared to those in the horizontal pipe.

58 citations

Journal ArticleDOI
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.
Abstract: Rotational speed is a key parameter for the condition monitoring and control of rotating machineries, such as generators, electromotors, and centrifugal and machine tool spindles. It is essential for precision machining and early warning of faults to measure rotational speed in real time. This paper presents the principle and application of electrostatic sensors and correlation signal processing techniques to real-time measurement of rotational speed. The electrostatic sensors and signal conditioning and processing units were designed and implemented. Experimental tests were conducted on a laboratory-scale test rig under a range of conditions including different diameters of the shaft. The results obtained 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. The system performs better in terms of accuracy and repeatability at a higher rotational speed as more electrostatic charge is produced on the rotating surface. High and stable correlation coefficients acquired during the tests suggest that the measurement system is capable of providing reliable measurement of rotational speed under realistic industrial conditions.

55 citations

Journal ArticleDOI
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.

41 citations

Journal ArticleDOI
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.

39 citations

Journal ArticleDOI
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.
Abstract: Quantitative data about the dynamic behaviour of pulverized coal and biomass–coal blends in fuel injection pipelines allow power plant operators to detect variations in fuel supply and oscillations in the flow at an early stage, enable them to balance fuel distribution between fuel feeding pipes and ultimately to achieve higher combustion efficiency and lower greenhouse gas emissions. Electrostatic sensor arrays and data fusion algorithms are combined to provide a non-intrusive solution to the measurement of fuel particle velocity, relative solid concentration and flow stability under pneumatic conveying conditions. Electrostatic sensor arrays with circular and arc-shaped electrodes are integrated in the same sensing head to measure 'averaged' and 'localized' characteristics of pulverized fuel flow. Data fusion techniques are applied to optimize and integrate the results from the sensor arrays. Experimental tests were conducted on the horizontal section of a 150 mm bore pneumatic conveyor circulating pulverized coal and sawdust under various flow conditions. Test results suggest that pure coal particles travel faster and carry more electrostatic charge than biomass–coal blends. As more biomass particles are added to the flow, the overall velocity of the flow reduces, the electrostatic charge level on particles decreases and the flow becomes less stable compared to the pure coal flow.

38 citations


Cited by
More filters
Journal ArticleDOI
TL;DR: In this article, the authors have presented the various signal processing methods applied to the fault diagnosis of rolling element bearings with the objective of giving an opportunity to the examiners to decide and select the best possible signal analysis method as well as the excellent defect representative features for future application in the prognostic approaches.

453 citations

Journal ArticleDOI
TL;DR: This work investigates the current status of research in ICPS monitoring and control, and reviews the recent advances in monitoring, fault diagnosis, and control approaches based on data-driven realization, which can take full advantage of the abundant data available from past observations and those collected online in real time.
Abstract: Industrial cyber-physical systems (ICPSs) are the backbones of Industry 4.0 and as such, have become a core transdisciplinary area of research, both in industry and academia. New challenges brought about by the growing scale and complexity of systems, insufficient information exchange, and the exploitation of knowledge available have started threatening the overall system safety and stability. This work is motivated by these challenges and the strategic and practical demands of developing ICPSs for safety-critical systems such as the intelligent factory and the smart grid. It investigates the current status of research in ICPS monitoring and control, and reviews the recent advances in monitoring, fault diagnosis, and control approaches based on data-driven realization, which can take full advantage of the abundant data available from past observations and those collected online in real time. The practical requirements in the typical ICPS applications are summarized as the major issues to be addressed for the monitoring and the safety control tasks. The key challenges and the research directions are proposed as references to the future work.

193 citations

Journal ArticleDOI
TL;DR: In this paper, a laboratory scale fluidized bed was examined experimentally and numerically involving differently sized wooden Geldart-D particle shapes, and simulations were performed with a coupled DEM-CFD approach, which involves a drag force model that realizes for the particle shape and orientation.

110 citations

Journal ArticleDOI
TL;DR: In this article, the characterization methods of electrostatics and the mechanisms of charge generation and distribution in fluidized beds are presented, followed by an account of the interplay between the hydrodynamics and electrostatic phenomena.

96 citations