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Featured researches published by Haiyang Zhang.


Sensors | 2017

An Improved High-Sensitivity Airborne Transient Electromagnetic Sensor for Deep Penetration

Shudong Chen; Shuxu Guo; Haofeng Wang; Miao He; Xiaoyan Liu; Yu Qiu; Shuang Zhang; Zhiwen Yuan; Haiyang Zhang; Dong Fang; Jun Zhu

The investigation depth of transient electromagnetic sensors can be effectively increased by reducing the system noise, which is mainly composed of sensor internal noise, electromagnetic interference (EMI), and environmental noise, etc. A high-sensitivity airborne transient electromagnetic (AEM) sensor with low sensor internal noise and good shielding effectiveness is of great importance for deep penetration. In this article, the design and optimization of such an AEM sensor is described in detail. To reduce sensor internal noise, a noise model with both a damping resistor and a preamplifier is established and analyzed. The results indicate that a sensor with a large diameter, low resonant frequency, and low sampling rate will have lower sensor internal noise. To improve the electromagnetic compatibility of the sensor, an electromagnetic shielding model for a central-tapped coil is established and discussed in detail. Previous studies have shown that unclosed shields with multiple layers and center grounding can effectively suppress EMI and eddy currents. According to these studies, an improved differential AEM sensor is constructed with a diameter, resultant effective area, resonant frequency, and normalized equivalent input noise of 1.1 m, 114 m2, 35.6 kHz, and 13.3 nV/m2, respectively. The accuracy of the noise model and the shielding effectiveness of the sensor have been verified experimentally. The results show a good agreement between calculated and measured results for the sensor internal noise. Additionally, over 20 dB shielding effectiveness is achieved in a complex electromagnetic environment. All of these results show a great improvement in sensor internal noise and shielding effectiveness.


Sensors | 2016

Overhauser Geomagnetic Sensor Based on the Dynamic Nuclear Polarization Effect for Magnetic Prospecting

Jian Ge; Haobin Dong; Huan Liu; Zhiwen Yuan; He Dong; Zhizhuo Zhao; Yonghua Liu; Jun Zhu; Haiyang Zhang

Based on the dynamic nuclear polarization (DNP) effect, an alternative design of an Overhauser geomagnetic sensor is presented that enhances the proton polarization and increases the amplitude of the free induction decay (FID) signal. The short-pulse method is adopted to rotate the enhanced proton magnetization into the plane of precession to create an FID signal. To reduce the negative effect of the powerful electromagnetic interference, the design of the anti-interference of the pick-up coil is studied. Furthermore, the radio frequency polarization method based on the capacitive-loaded coaxial cavity is proposed to improve the quality factor of the resonant circuit. In addition, a special test instrument is designed that enables the simultaneous testing of the classical proton precession and the Overhauser sensor. Overall, comparison experiments with and without the free radical of the Overhauser sensors show that the DNP effect does effectively improve the amplitude and quality of the FID signal, and the magnetic sensitivity, resolution and range reach to 10 pT/Hz1/2@1 Hz, 0.0023 nT and 20–100 μT, respectively.


Sensors | 2017

A High-Performance Portable Transient Electro-Magnetic Sensor for Unexploded Ordnance Detection

Haofeng Wang; Shudong Chen; Shuang Zhang; Zhiwen Yuan; Haiyang Zhang; Dong Fang; Jun Zhu

Portable transient electromagnetic (TEM) systems can be well adapted to various terrains, including mountainous, woodland, and other complex terrains. They are widely used for the detection of unexploded ordnance (UXO). As the core component of the portable TEM system, the sensor is constructed with a transmitting coil and a receiving coil. Based on the primary field of the transmitting coil and internal noise of the receiving coil, the design and testing of such a sensor is described in detail. Results indicate that the primary field of the transmitting coil depends on the diameter, mass, and power of the coil. A higher mass–power product and a larger diameter causes a stronger primary field. Reducing the number of turns and increasing the clamp voltage reduces the switch-off time of the transmitting current effectively. Increasing the cross-section of the wire reduces the power consumption, but greatly increases the coil’s weight. The study of the receiving coil shows that the internal noise of the sensor is dominated by the thermal noise of the damping resistor. Reducing the bandwidth of the system and increasing the size of the coil reduces the internal noise effectively. The cross-sectional area and the distance between the sections of the coil have little effect on the internal noise. A less damped state can effectively reduce signal distortion. Finally, a portable TEM sensor with both a transmitting coil (constructed with a diameter, number of turns, and transmitting current of 0.5 m, 30, and 5 A, respectively) and a receiving coil (constructed with a length and resonant frequency of 5.6 cm and 50 kHz, respectively) was built. The agreement between experimental and calculated results confirms the theory used in the sensor design. The responses of an 82 mm mortar shell at different distances were measured and inverted by the differential evolution (DE) algorithm to verify system performance. Results show that the sensor designed in this study can not only detect the 82 mm mortar shell within 1.2 m effectively but also locate the target precisely.


Review of Scientific Instruments | 2018

A high-precision and fast-sampling frequency measurement method based on FPGA carry chain for airborne optically pumped cesium magnetometer

Haobin Dong; Shuting Hu; Jian Ge; Huan Liu; Wang Luo; Zhiwen Yuan; Jun Zhu; Haiyang Zhang

Improving the precision and sampling rate of the resonance frequency of cesium atoms is the key to enhancing the same factors of an airborne optically pumped cesium magnetometer (AOPCM). Aiming at the existed problems of AOPCM and characteristics of resonance signal, this paper proposes a high-precision and fast-sampling frequency measurement method based on carry chains of Field-Programmable Gate Array (FPGA). In order to achieve a fast-sampling rate, an improved equal precision frequency measurement method is proposed to measure the standard signal and the resonance signal continuously. Besides, by using the serial full adder to connect FPGA carry chains to a delay line, the delay line is used to compensate the unsynchronized clock edge, so the counting error can be reduced, and the precision of frequency measurement can be improved greatly. Experiments show that the frequency resolution is 0.014 nT and the relative error is lower than 2 × 10-6 when the sampling rate is 500 Hz. The experimental result indicates that the proposed method improves the precision and sampling rate of resonance frequency measurement greatly. Consequently, the precision and sampling rate of AOPCM can be improved.


3rd International Conference on Electromechanical Control Technology and Transportation | 2018

Precise Measurement of Characteristic Responses for Unexploded Ordnance

Xiaoyan Liu; Shuang Zhang; Haofeng Wang; Shudong Chen; Zhiwen Yuan; Haiyang Zhang; Dong Fang; Jun Zhu

The equipment for measuring the characteristic responses of unexploded ordnance (UXO) is proposed in this paper. It is composed of two parts: a solenoid and a pair of rectangular coils. The uniformity of the primary field for solenoid reaches 98% and 97% for rectangular coils. The characteristic responses of six targets with different size, length and outer diameters are measured. The results indicate that the amplitude and decay rate of the characteristic responses change significantly with the length and outer diameter. The longer the target, the greater the amplitude will be. The larger the diameter of the target, the slower the decay rate will be. It means that the physical information can be well reflected by characteristic responses.


instrumentation and measurement technology conference | 2018

What can machine learning do for geomagnetic data processing? A reconstruction application

Huan Liu; Yihao Liu; Shuo Liu; Zheng Liu; Jian Ge; Hengli Song; Zhiwen Yuan; Jun Zhu; Haiyang Zhang; Haobin Dong


chinese control conference | 2018

Research on a Thermostatic Heating Control System for Optically Pumped Cesium Magnetometer

Shuting Hu; Jian Ge; Haobin Dong; Liyue Xue; Zhiwen Yuan; Jun Zhu; Haiyang Zhang


chinese control conference | 2018

Aeromagnetic compensation of Rotor UAV Based on Least Squares

Han Li; Jian Ge; Haobin Dong; Xiangyu Qiu; Wang Luo; Huan Liu; Zhiwen Yuan; Jun Zhu; Haiyang Zhang


chinese control conference | 2018

Design and Characterization of an Ultralow-Potential Drift Ag/AgCl Electric Field Sensor

Wang Luo; Haobin Dong; Jian Ge; Huan Liu; Bingjie Bai; Cheng Zhang; Zhiwen Yuan; Jun Zhu; Haiyang Zhang


chinese control conference | 2018

Optimization of Overhauser magnetometer based on multi-channel frequency measurement algorithm

Guanzhong Wang; Haobin Dong; Jian Ge; Vang Luo; Huan Liu; Zhiwen Yuan; Jun Zhu; Haiyang Zhang

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Haobin Dong

China University of Geosciences

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Jian Ge

China University of Geosciences

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Huan Liu

China University of Geosciences

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Wang Luo

China University of Geosciences

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Xiangyu Qiu

China University of Geosciences

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Bingjie Bai

China University of Geosciences

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Cheng Zhang

China University of Geosciences

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