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Featured researches published by Jianbin Zhou.


Applied Radiation and Isotopes | 2018

A new method for removing false peaks to obtain a precise X-ray spectrum

Lin Tang; jie Yu; Jianbin Zhou; Fang Fang; Wenjie Wan; Jianfeng Yao; Songke Yu; Xianli Liao

To get a precise X-ray energy spectrum from the latest high-performance silicon drift detector (fast SDD), a switch reset preamplifier circuit, which has a high signal to noise ratio and small ballistic loss, is used to amplify the weak signal transmitted by the detector. Aiming at the technical problem of fast SDD, which works at high-count rate conditions, we adopt a slow triangle shaping method and use switch reset type preamplifier, and a new method is put forward to remove the false peaks to obtain a precise X-ray spectrum, in essence, to eliminate the distorted pulses transmitted by the detector. 55Fe standard source and a certain kind of rock sample are regarded as measuring objects in the experiments. The spectral comparison figure, which contains the two measurement results of the pre and post elimination of the false peaks, respectively, shows that this method removes the false peaks located in the front of the full-energy peak in spectra and improves the peak-to-background ratio in a complex spectral analysis and the analytical precision of weak signals.


Applied Radiation and Isotopes | 2018

Rising time restoration for nuclear pulse using a mathematic model

Min Wang; Xu Hong; Jianbin Zhou; Ying Liu; Peng Fei; Wenjie Wan; Wei Zhou; Yingjie Ma; Yi Liu; Weicheng Ding

The rising time of a nuclear pulse is slowed before being digitized because of the effect of distributed capacitance and resistance. This results in the waveform distortion of a shaped pulse. In this study, the effect of distributed capacitance and resistance is equivalent to the result of RC network. The mathematical model of the network is established to restore the rising time of the input nuclear pulse. Experimental results show that the leading edge of the nuclear pulse becomes steep after rising time restoration, and the shape of the shaped pulse is also improved. The energy spectrum obtained with rising time restoration is compared with that without rising time restoration. The comparison result indicates that using rising time restoration can extend the measurement range of pulse amplitude without affecting the energy resolution of the system.


Applied Radiation and Isotopes | 2018

Identification of weak peaks in X-ray fluorescence spectrum analysis based on the hybrid algorithm combining genetic and Levenberg Marquardt algorithm

Hua Du; Wuhui Chen; Qingjun Zhu; Songlin Liu; Jianbin Zhou

Accurate measurement of cadmium content in rice is of utmost importance to determine if the inspected rice product is safe to people. X-ray fluorescence analysis is frequently used for multi-element analysis because it has characteristics of fast, accurate and nondestructive. However, due to the low content of cadmium in rice, its corresponding characteristics energy peak is relatively weak and is sensitive to the background information in the X-ray energy spectrum. Thus, it is very tough to obtain the accurate values of cadmium content by utilizing traditional X-ray fluorescence analysis. In this paper, the identification of weak peaks of cadmium is much improved by proposing a hybrid algorithm combining genetic algorithm (GA) and Levenberg-Marquardt algorithm (LM). The hybrid algorithm not only takes full advantages of GA and LM respectively but also inhibits their unwanted properties: poor local search ability of GA and locally convergent of LM. The proposed hybrid algorithm is employed to identify weak peaks in X-ray spectra of six contaminated rice samples with different contents of cadmium. Two comparative experiments are conducted to compare the performance between GA, LM and the proposed hybrid algorithm. One of the comparative experiments has the relative error varying with the number of calculations, which aims to verify the accuracy and stability. The results show that the hybrid algorithm is a better option in terms of accuracy and stability. Another comparative experiment of which the average relative error varies with the number of iterations is conducted to verify the computing efficiency. The experiments show that the hybrid algorithm exhibits a faster convergence rate. Two numerical experiments demonstrate that the proposed algorithm can well resolve the identification issue of the cadmium in the X-ray spectra and significantly improve the content measurement accuracy of cadmium in the quality evaluation experiment of rice products.


Archive | 2011

Debris flow monitoring pre-warning device

Wei Zhou; Fang Fang; Jianbin Zhou; Yi Liu; Yanghong Li; Hongquan Huang; Niancong Liu; Linlin Li


Archive | 2010

High-sensitivity alpha energy spectrum measuring method of radon concentration in air

Weicheng Ding; Fang Fang; Yingjie Ma; Juhong Ruan; Yong Yang; Jianbin Zhou


Archive | 2010

Multifunctional rare earth product radioactivity detecting instrument based on composite detector

Weicheng Ding; Xiaojuan Duan; Fang Fang; Hongquan Huang; Yi Liu; Min Wang; Ping Yan; Haiwei Zhang; Jianbin Zhou; Wei Zhou


Archive | 2010

Quick air radon concentration measuring device based on air impulse ionization chamber

Weicheng Ding; Fang Fang; Qiu Huang; Dan Li; Min Wang; Jianbin Zhou


Archive | 2012

Digital forming method for nuclear pulse signals

Jianbin Zhou; Wei Zhou; Fang Fang; Yi Liu; Yanghong Li; Xing Zhu; Min Wang; Lei Wang


Archive | 2010

Alpha energy spectrum air emanometer based on diffusive accumulation principle

Weicheng Ding; Fang Fang; Qiu Huang; Jianbin Zhou; Juhong Ruan; Min Wang


Archive | 2010

Multi-channel analyzer (MCA) with pulse width discrimination function

Fang Fang; Yi Liu; Lei Wang; Jianbin Zhou; Wei Zhou

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Min Wang

Chengdu University of Technology

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Wei Zhou

Chengdu University of Technology

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Yi Liu

Chengdu University of Technology

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Weicheng Ding

Chengdu University of Technology

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Wenjie Wan

Chengdu University of Technology

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Xu Hong

Chengdu University of Technology

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Yingjie Ma

Chengdu University of Technology

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Fang Fang

Chengdu University of Technology

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Haiwei Zhang

Chengdu University of Technology

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Jianfeng Yao

Chengdu University of Technology

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