基于特征波段的手持式近红外XLPE电缆主绝缘水分测量系统
Handheld Near-Infrared System for Measuring Moisture Content in XLPE Cable Insulation Based on Characteristic Bands
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摘要: 高湿环境中,交联聚乙烯电缆主绝缘受潮可能会导致水树老化及绝缘性能下降。为实现现场快速诊断,文中提出一种基于特征波段的近红外光谱检测方法,并采用光谱-称量同步试验数据建立定量模型。以
1 700 nm波段作为基准波段,1 940 nm波段作为核心检测波段,建立了双波段比值模型,有效削弱了厚度差异、基线漂移和散射干扰等因素对结果的影响。进一步光谱特征分析表明,1 940 nm波段在动态范围和灵敏度保持率方面均明显优于1450 nm波段,证实其更适用于含水量的定量检测。基于最小二乘回归建立的定标模型决定系数 R2达到0.989,验证了预测结果与实测值之间的高度一致性。依托该模型研制的便携式检测装置分别在实验室与现场获得验证,预测结果与标准烘干法的偏差控制在3%以内。研究结果表明,该系统能够实现对交联聚乙烯(cross-linked polyethylene,XLPE)电缆主绝缘含水状态的快速、定量检测,为电缆运行维护和寿命管理提供了有效的技术手段。Abstract: Cross-linked polyethylene (XLPE) cable main insulation is highly susceptible to moisture in humid environments, leading to water treeing and insulation degradation. To enable rapid on-site diagnosis, a handheld near-infrared spectroscopy system for moisture measurement in XLPE insulation based on characteristic bands was presented. A dual-band ratio model was established with1700 nm as the reference band and1940 nm as the detection band, effectively minimizing thickness variation, baseline drift, and scattering effects. Spectral analysis showed that the1940 nm band offered superior dynamic range and sensitivity retention over1450 nm, making it more suitable for quantitative moisture detection. A least-squares calibration yielded a coefficient of determination (R2) of 0.989, confirming strong agreement between predicted and measured values. The handheld prototype developed based on this model was validated under laboratory and field conditions, with deviations from the oven-drying standard kept within 3%. These results demonstrated that the system provided rapid, robust, and quantitative detection of moisture in XLPE insulation, providing an effective technical tool for cable operation maintenance and lifetime management.
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