Jijun Liu

Dr. Jijun Liu


Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

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

Representative Publications

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8 June 2024 in Electrical Engineering
Verified
Journal Article
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JLJijun Liu
Jijun Liu
LWLiang Wan
Liang Wan
KHKaiming Hu
Kaiming Hu
ZXZhenyu Xu
Zhenyu Xu
FWFugui Wang
Fugui Wang

12 January 2024 in Research Square
Verified
Preprint
Open access
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JLJijun Liu
Jijun Liu
LWLiang Wan
Liang Wan
In this paper, a reference current control strategy based on second-order generalized integrator and FBD method for shunt active power filter is proposed. The method uses the second-order generalized integrator and the symmetrical component method to obtain the fundamental sequence component of the grid voltage. And then the FBD method is used to decompose the load current under the fundamental positive-sequence voltage reference to obtain the reference value of the compensation current. This method does not need coordinate transformation, is simple to calculate, and has clear physical meaning. It can compensate harmonic current, reactive current and negative-sequence current at the same time even under complex grid voltage and load and frequency offset. The proposed method is compared with the existing method under a variety of experimental conditions. The experimental results prove the effectiveness and accuracy of the proposed method.

30 June 2025 in Sensors
Verified
Journal Article
Open access
PDF file
QCQiangqiang Cheng
Qiangqiang Cheng
JLJijun Liu
Jijun Liu
JCJian Chen
Jian Chen
GXGuisuo Xia
Guisuo Xia
CLChunquan Li
Chunquan Li
In view of the problems of poor safety, slow detection speed, and low accuracy of existing nondestructive testing (NDT) technologies, such as X-ray methods and ultrasonic detection in detecting electron beam weld defects in aluminum alloys, this study proposes a weak magnetic NDT method based on the geomagnetic field. Firstly, the finite element analysis method was used to establish a simulation model of aluminum alloy electron beam welding defects, and the distribution characteristics of the magnetic field around weld defects, such as cracks and pores, were obtained. Then, the magnetic anomaly signal at the crack weld was identified by combining the wavelet transform and the least squares method. Finally, experimental tests show that the proposed method can safely, quickly, and accurately detect the defects of aluminum alloy electron beam welds.