Shang Yuhang, Sun Fukang, Fang Qiansheng, Chen Bailing, Xie Jianxia
Anhui Province Key Laboratory of Intelligent Building and Building Energy-saving, Anhui Jianzhu University, Hefei, China.
Anhui Institute of Strategic Study on Carbon Emissions Peak and Carbon Neutrality in Urban-rural Development, Anhui Jianzhu University, Hefei, China.
Heliyon. 2023 Sep 1;9(9):e19737. doi: 10.1016/j.heliyon.2023.e19737. eCollection 2023 Sep.
Faulty LED lamps can cause a decrease in light efficiency, lead to flicker, and have a negative impact on creating a reliable, stable, and healthy light environment. However, many LED lamps' faults are difficult to detect by electrical parameter measurements or naked-eye observation. Consequently, in this paper, a novel fault diagnosis strategy is proposed by analyzing light output time-frequency characteristics of LED lamps. The proposed fault diagnosis strategy contains three stages: (1) collecting the light output signal of LED lamps, (2) extracting the light output time-frequency characteristics of LED lamps by VMD and energy entropy calculation, and (3) employing SVM to construct the fault diagnosis model which used to identify the faulty LED lamps. To validate the feasibility and effectiveness of the proposed fault diagnosis strategy, simulation experiments are conducted, and the light output signals of LED lamps are collected as experiment datasets using the 10 kHz sampling frequency. The results demonstrate that the proposed fault diagnosis strategy can identify faults effectively, and average accuracy rate can reach to over 92%. This study can help promote the development of large-scale LED lamp maintenance management technology, and bring great benefits for the reliable and healthy operation of large-scale LED lamps particularly.
有故障的LED灯可能会导致光效率降低，引发闪烁，并对营造可靠、稳定和健康的光环境产生负面影响。然而，许多LED灯的故障难以通过电气参数测量或肉眼观察来检测。因此，本文通过分析LED灯的光输出时频特性，提出了一种新颖的故障诊断策略。所提出的故障诊断策略包括三个阶段：（1）采集LED灯的光输出信号；（2）通过VMD和能量熵计算提取LED灯的光输出时频特性；（3）采用支持向量机构建用于识别故障LED灯的故障诊断模型。为了验证所提出的故障诊断策略的可行性和有效性，进行了仿真实验，并以10kHz的采样频率采集LED灯的光输出信号作为实验数据集。结果表明，所提出的故障诊断策略能够有效地识别故障，平均准确率可达92%以上。本研究有助于推动大规模LED灯维护管理技术的发展，尤其为大规模LED灯的可靠和健康运行带来巨大益处。
