Xiaoxue Ma

Xiaoxue Ma


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 April 2020 in IEEE Transactions on Industrial Electronics
Verified
Journal Article
Closed access
HSHaotian Shi
Haotian Shi
Hongpeng ZhangHongpeng Zhang
Hongpeng Zhang
XMXiaoxue Ma
Xiaoxue Ma
FRFoday Rogers
Foday Rogers
XZXupeng Zhao
Xupeng Zhao
LZLin Zeng
Lin Zeng
An impedance debris sensor capable of simultaneously detecting inductance and resistance parameters is presented, which mainly consists of two planar coils in parallel, two excitation silicon steel strips inserted in the inner hole of coils and a built-in silicon steel strip located in the center of channel. The excitation silicon steel strips and the built-in silicon steel strip establish a detection region with a high-gradient magnetic field to improve the sensitivity of the sensor. And the square channel makes full use of the sensitive detection region, thereby further increasing the detection throughput. Experiments have shown that the amplitudes of the inductance and resistance pulses generated by the same particle many times through the detection region are different. The uncertainty of the sensor can be reduced for an accurate size information by combining the detection results of the inductance and resistance parameters. By comparing and analyzing the inductance parameter detection result and the resistance parameter detection result, the impedance debris sensor can distinguish and measure 25μm iron particle and 85μm copper particle. With its high sensitivity, high throughput and capability of multi-parameter detection, this sensor can potentially be used for health monitoring of hydraulic equipment.

3 February 2021 in Micromachines
Verified
Journal Article
Open access
PDF file
Hongpeng ZhangHongpeng Zhang
Hongpeng Zhang
HSHaotian Shi
Haotian Shi
WLWei Li
Wei Li
XMXiaoxue Ma
Xiaoxue Ma
XZXupeng Zhao
Xupeng Zhao
YZYuwei Zhang
Yuwei Zhang
Hydraulic oil is the key medium for the normal operation of hydraulic machinery, which carries various wear debris. The information reflected by the wear debris can be used to predict the early failure of equipment and achieve predictive maintenance. In order to realize the real-time condition monitoring of hydraulic oil, an impedance debris sensor that can detect inductance and resistance parameters is designed and studied in this paper. The material and size of wear debris can be discriminated based on inductance-resistance detection method. Silicon steel strips and two rectangular channels are designed in the sensor. The silicon steel strips are used to enhance the magnetic field strength, and the double rectangular detection channels can make full use of the magnetic field distribution region, thereby improving the detection sensitivity and throughput of the sensor. The comparison experiment shows that the coils in series are more suitable for the monitoring of wear debris. By comparing and analyzing the direction and the presence or absence of the signal pulses, the debris sensor can detect and distinguish 46 µm iron particles and 110 µm copper particles. This impedance detection method provides a new technical support for the high-precision distinguishing measurement of metal debris. The sensor can not only be used for oil detection in the laboratory, but also can be made into portable oil detection device for machinery health monitoring.