基于非线性时变参数的红外校验评估技术研究

摘要

红外成像技术的广泛应用是实现电网状态检修的关键环节之一,对红外成像设备的性能评估可为电网安全、稳定运行提供重要保障.为了提高红外成像评估能力,针对传统红外成像设备校验评估方法中存在的各类问题,基于准确度、狭缝函数、最小可分辨温差(MRTD)、最小可探测温差(MDTD)和噪声等效温差(NETD)等参数,建立了基于非线性独立分量分析(ICA)时变参数的红外成像评估系统数据库.以数字接口的衔接实现红外成像设备的自动化检测与评估,提高了红外设备应用的准确性,解决了电网红外成像设备全性能评估的技术问题.试验结果表明,相较于传统方法,基于时变参数的红外成像校验评估技术的正确率、鲁棒性均更优,具有更广阔的应用前景,可为电网状态检修的准确性和安全性提供数据保障.%The wide application of infrared imaging technology is one of the key links to realize the condition based maintenance of the power system. The performance evaluation of the infrared imaging equipment can provide important guarantee for the safe and stable operation of the power grid. In order to improve the evaluation capability of infrared imaging,aiming at various problems of traditional evaluation method of infrared imaging equipment, and based on the accuracy, slit function, minimum resolution temperature difference( MRTD) ,minimum detectable temperature difference( MDTD) and noise equivalent temperature difference (NETD) and other parameters,the database of infrared imaging evaluation system based on nonlinear independent component analysis ( ICA) time varying parameters is established. Automatic detection and evaluation are implemented by the link up of digital interfaces,to improve the precision of application of infrared equipment, and to solve the technical measure of overall performance evaluation of infrared imaging equipment for power grid. The experimental results show that compared with the traditional method, infrared imaging calibration and evaluation technology based on time - varying parameters features better robustness and accuracy,so it has wider application prospect,and can guarantee the data accuracy and safety for state maintenance of power grid.