Xiangchen Qian

TL;DR: In this paper, an intelligent system for the online monitoring of the operating conditions of rotating machinery using electrostatic sensors and signal processing techniques is proposed, which is capable of providing simultaneous measurements of rotational speed, angular acceleration, vibration direction and frequency as well as an indication of mechanical wear.

TL;DR: A multi-parameter and quantitative evaluation method is presented in this paper, which is based on the analysis of the characteristics of reconstructed images and digital image processing methods, and the results are consistent with visual perception.

TL;DR: The characteristics of the induced charges on the electrodes and the charge distribution in the cross section under different flow conditions are investigated, which proves that wire-mesh electrostatic sensors are able to measure the charge Distribution in the bubbling fluidized bed.

TL;DR: In this article, experimental measurements for biomass particle transportation in a pipeline with a transverse elbow and compared the results with those using computation fluid dynamic (CFD) techniques were performed using the dynamic changes in the electrostatic charges of biomass particles in conjunction with correlation signal processing techniques.

TL;DR: A novel electrostatic sensor array was designed to measure particle concentration downstream of a swirl burner in this paper, where the root-mean-square magnitude of the measured electrostatic voltage was determined as an indication of the particle concentration.