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Rapid detection of mechanical properties for cross-linked polyethylene cable insulation based on near-infrared spectroscopy
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Kaiwen Huang1, 2, Chenhui Liu3, Benhong Ouyang1, 2, *, Yuli Wang1, 2, Jianjun Yuan1, 2, Zhen Yuan3, Songhua Liu1, 2
Insulating Materials | 2026, 59(7) : 152 - 160
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Insulating Materials | 2026, 59(7): 152-160
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Rapid detection of mechanical properties for cross-linked polyethylene cable insulation based on near-infrared spectroscopy
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Kaiwen Huang1, 2, Chenhui Liu3, Benhong Ouyang1, 2, *, Yuli Wang1, 2, Jianjun Yuan1, 2, Zhen Yuan3, Songhua Liu1, 2
Affiliations
  • 1China Electric Power Research Institute Co., Ltd., Wuhan 430074, China
  • 2State Key Laboratory of Power Grid Environmental Protection, Wuhan 430074, China
  • 3Polypower (Beijing) Technology Co., Ltd., Beijing 100020, China
Published: 2026-07-20 doi: 10.16790/j.cnki.1009-9239.im.2026.07.017
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This study aimed to establish a rapid on-site detection method for the mechanical properties of cross-linked polyethylene (XLPE) cable insulation based on near-infrared spectroscopy. Considering the high light transmittance of XLPE insulation and taking into account spectral repeatability and signal-to-noise ratio, a transflective "6+1" fiber optic acquisition probe and a supporting detection device were developed. The near-infrared spectra of 60 cable samples were collected, and the influence of spectral baseline drift was eliminated by second-order derivative pretreatment. The elongation at break and tensile strength of the samples were measured according to GB/T 2951.11—2008 and used as reference values for modeling, and the repeatability of the reference data was verified. The preprocessed spectral matrix was correlated with the reference values using partial least squares (PLS) regression, and a multivariate calibration model for the mechanical properties of XLPE insulation was established. The results show that the cross-validation standard errors of the model for elongation at break and tensile strength are 12.16 and 0.55, respectively. When five blind samples were prepared by the model, the relative deviations between the predicted results and the reference values are all less than 5%, demonstrating that the model can effectively achieve rapid assessment of the mechanical properties of XLPE insulation.

cable  /  cross-linked polyethylene (XLPE)  /  mechanical property  /  near-infrared spectroscopy  /  rapid assessment
Kaiwen Huang, Chenhui Liu, Benhong Ouyang, Yuli Wang, Jianjun Yuan, Zhen Yuan, Songhua Liu. Rapid detection of mechanical properties for cross-linked polyethylene cable insulation based on near-infrared spectroscopy[J]. Insulating Materials, 2026 , 59 (7) : 152 -160 . DOI: 10.16790/j.cnki.1009-9239.im.2026.07.017
Year 2026 volume 59 Issue 7
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Article Info
doi: 10.16790/j.cnki.1009-9239.im.2026.07.017
  • Receive Date:2025-07-08
  • Online Date:2026-09-10
  • Published:2026-07-20
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  • Received:2025-07-08
  • Revised:2025-09-17
Affiliations
    1China Electric Power Research Institute Co., Ltd., Wuhan 430074, China
    2State Key Laboratory of Power Grid Environmental Protection, Wuhan 430074, China
    3Polypower (Beijing) Technology Co., Ltd., Beijing 100020, China
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https://castjournals.cast.org.cn/joweb/jycl/EN/10.16790/j.cnki.1009-9239.im.2026.07.017
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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