Guanghai Liu

Dr. Guanghai Liu


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

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

Representative Publications

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28 June 2022 in Photonics
Verified
Journal Article
Open access
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LNLiang Nie
Liang Nie
XLXiaonan Li
Xiaonan Li
HCHongwei Chen
Hongwei Chen
JZJunying Zhang
Junying Zhang
HCHaibin Chen
Haibin Chen
GLGuanghai Liu
Guanghai Liu
To solve the problem of low demodulation accuracy of conventional peak-to-peak algorithm for fiber-optic Fabry-Perot (FP) sensors due to failure of determining the interference order, a novel cavity length sequence matching demodulation algorithm based on a combined valley peak positioning is proposed. Firstly, a pair of a peak and its neighboring valley in the reflection spectrum is selected and positioned, and two groups of interference orders are supposed to generate two groups of cavity length sequences. Finally, these cavity lengths are compared to find the real interference order of the peak and valley for the extraction of the accurate cavity length. In order to verify the feasibility and performance of the proposed algorithm, simulations and experiments were carried out for fiber-optic FP sensors with cavity lengths in the range of 15–115 μm. A demodulation accuracy better than 8.8 nm was found. The proposed algorithm can achieve highly accurate cavity length demodulation of fiber-optic FP sensors.

1 January 2025 in Open Physics
Verified
Journal Article
Open access
PDF file
GLGuanghai Liu
Guanghai Liu
MGMing Gao
Ming Gao
CLChangjiang Liu
Changjiang Liu
YXYusheng Xu
Yusheng Xu
XZXiongxing Zhang
Xiongxing Zhang
HCHaibin Chen
Haibin Chen
To measure transient and extremely high temperatures of explosion processes, a high-speed multi-spectral temperature measurement system was developed. By measuring spectral radiant exitance corresponding to six wavelengths by six fast photodetectors, transient explosion temperature can be extracted in realtime through a linear correlation algorithm accelerated by the golden-section method. Real explosion experiments with the energetic material polymer-bonded explosive demonstrated that the method could rapidly and accurately determine explosion temperatures. Peak explosion temperature up to 3,560 K has been successfully extracted. The proposed method may find applications in explosive evaluations.