Citation: | HUANG Zhihong, XIAO Jian, XU Xianyong, ZHANG Hui. Spectral Residual Transformation for Thermal Defect Detection of Power Equipment[J]. Infrared Technology , 2023, 45(8): 884-889. |
[1] |
刘嵘, 刘辉, 贾然, 等. 一种智能型电网设备红外识别系统的设计[J]. 红外技术, 2020, 42(12): 198-1202. http://hwjs.nvir.cn/article/id/a00b6f68-052d-40c0-a00f-1f0ff120ce69
LIU Rong, LIU Hui, JIA Ran, et al. Design of intelligent infrared di-agnosis system for power grid equipment[J]. Infrared Technology, 2020, 42(12): 1198-1202. http://hwjs.nvir.cn/article/id/a00b6f68-052d-40c0-a00f-1f0ff120ce69
|
[2] |
张文峰, 彭向阳, 陈锐民, 等. 基于无人机红外视频的输电线路发热缺陷智能识别技术[J]. 电网技术, 2014, 38(5): 1334-1338. https://www.cnki.com.cn/Article/CJFDTOTAL-DWJS201405034.htm
ZHANG Wenfeng, PENG Xiangyang, CHEN Ruiming, et al. Intelligent diagnostic techniques of abnormal heat defect in transmission lines based on unmanned helicopter infrared video[J]. Power System Technology, 2014, 38(5): 1334-1338. https://www.cnki.com.cn/Article/CJFDTOTAL-DWJS201405034.htm
|
[3] |
王淼, 杜伟, 孙鸿博, 等. 基于红外图像识别的输电线路故障识别方法[J]. 红外技术, 2017, 39(4): 383-386. http://hwjs.nvir.cn/article/id/hwjs201704015
WANG Miao, DU Wei, SUN Hongbo, et al. Transmission line fault diagnosis method based on infrared image recognition[J]. Infrared Technology, 2017, 39(4): 383-386. http://hwjs.nvir.cn/article/id/hwjs201704015
|
[4] |
胡洛娜, 彭云竹, 石林鑫. 核猫群红外图像异常检测方法在电力智能巡检中的应用[J]. 红外技术, 2018, 40(9): 323-328. http://hwjs.nvir.cn/article/id/hwjs201809013
HU Luona, PENG Yunzhu, SHI Linxin. Anomaly detection method of infrared images based on kernel cat swarm optimization clustering with application in intelligent electrical power inspection[J]. Infrared Technology, 2018, 40(9): 323-328. http://hwjs.nvir.cn/article/id/hwjs201809013
|
[5] |
魏钢, 冯中正, 唐跃林, 等. 输变电设备红外故障识别技术与试验研究[J]. 电气技术, 2013, 14(6): 75-78. https://www.cnki.com.cn/Article/CJFDTOTAL-DQJS201306030.htm
WEI Gang, FENG Zhongzheng, TANG Yuelin, et al. The infrared diagnostic technology of power transmission devices and experimental study[J]. Electrical Technology, 2013, 14(6): 75-78. https://www.cnki.com.cn/Article/CJFDTOTAL-DQJS201306030.htm
|
[6] |
李鑫, 崔昊杨, 霍思佳, 等. 基于粒子群优化法的Niblack电力设备红外图像分割[J]. 红外技术, 2018, 40(8): 780-785. http://hwjs.nvir.cn/article/id/hwjs201808010
LI Xin, CUI Wuyang, HUO Siyang. Niblack's method for infrared image segmentation of electrical equipment improved by particle swarm optimization[J]. Infrared Technology, 2018, 40(8): 780-785. http://hwjs.nvir.cn/article/id/hwjs201808010
|
[7] |
黄志鸿, 吴晟, 肖剑, 等. 基于引导滤波的电力设备热缺陷识别方法研究[J]. 红外技术, 2021, 43(9): 910-915. http://hwjs.nvir.cn/article/id/cb2a71f1-cd7c-4e76-977b-b6f7472b905d
HUANG Zhihong, WU Sheng, XIAO Jian, et al. Thermal fault diagnosis of power equipments based on guided filter[J]. Infrared Technology, 2021, 43(9): 910-915. http://hwjs.nvir.cn/article/id/cb2a71f1-cd7c-4e76-977b-b6f7472b905d
|
[8] |
黄志鸿, 洪峰, 黄伟. 形状自适应低秩表示的电力设备热故障诊断方法研究[J]. 红外技术, 2022, 44(8): 870-874. http://hwjs.nvir.cn/article/id/8f0f8a69-4b47-46b4-bcdf-ea623287093f
HUANG Zhihong, HONG Feng, HUANG Wei. Shape adaptation low rank representation for thermal fault diagnosis of power equipments[J]. Infrared Technology, 2022, 44(8): 870-874. http://hwjs.nvir.cn/article/id/8f0f8a69-4b47-46b4-bcdf-ea623287093f
|
[9] |
常亮, 邓小明, 周明全, 等. 图像理解中的卷积神经网[J]. 自动化学报, 2016, 42(9): 1300-1312. https://www.cnki.com.cn/Article/CJFDTOTAL-MOTO201609002.htm
CHANG Liang, DENG Xiaoming, ZHOU Mingquan, et al. Convolu-tional neural networks in image understanding[J]. Acta Automatica Sinica, 2016, 42(9): 1300-1312. https://www.cnki.com.cn/Article/CJFDTOTAL-MOTO201609002.htm
|
[10] |
魏东, 龚庆武, 来文青, 等. 基于卷积神经网络的输电线路区内外故障判断及故障选相方法研究[J]. 中国电机工程学报, 2016, 36(5): 21-28. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGDC2016S1003.htm
WEI Dong, LONG Qinwu, LAI Wenqing, et al. Research on internal and external fault diagnosis and fault-selection of transmission line based on convolutional neural network[J]. Proceedings of the CSEE, 2016, 36(5): 21-28. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGDC2016S1003.htm
|
[11] |
周可慧, 廖志伟, 肖异瑶, 等. 基于改进CNN的电力设备红外图像分类模型构建研究[J]. 红外技术, 2019, 41(11): 1033-1038. https://www.cnki.com.cn/Article/CJFDTOTAL-HWJS201911007.htm
ZHOU Kehui, LIAO Zhiwei, XIAO Yiyao, et al. Construction of infrared image classification model for power equipments based on improved CNN[J]. Infrared Technology, 2019, 41(11): 1033-1038. https://www.cnki.com.cn/Article/CJFDTOTAL-HWJS201911007.htm
|
[12] |
HOU Xiaodi, ZHANG Liqing. Salient detection: a spectral residual approach[C]//IEEE Conference on Computer Vision and Pattern Recognition, 2007: 18-23.
|
[13] |
HE Kaiming, SUN Jian, TANG Xiao'ou. Guided image filtering[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(6): 1397-1409.
|
[14] |
GAGLIARDI Robert, REED Irving S. Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution[J]. IEEE Transactions on Acoustic Speech Signal Processing, 1990, 38(10): 1760-1770.
|
[15] |
KANG Xudong, ZHANG Xiangping, LI Shutao, et al. Hyperspectral anomaly detection with attribute and edge-preserving filters[J]. IEEE Trans. Geosci. Remote Sens. , 2017, 55(10): 5600-5611.
|
[16] |
XU Yu, LI Jun, WU Zebin, et al. Anomaly detection in hyperspectral images based on low-rank and sparse representation[J]. IEEE Trans. Geosci. Remote Sens. , 2016, 54(4): 1287-1293.
|
[17] |
蒋昀宸, 樊绍胜, 陈骏星溆. 带电作业智能新技术及其应用现状[J]. 湖南电力, 2018, 38(5): 1-4. https://www.cnki.com.cn/Article/CJFDTOTAL-HNDL201805001.htm
JIANG Yunchen, FAN Zhaosheng, CHEN Junxingxu. Smart new-technologies and applications for live work[J]. Hunan Electric Power, 2018, 38(5): 1-4. https://www.cnki.com.cn/Article/CJFDTOTAL-HNDL201805001.htm
|
[1] | REN Yang, LI Junbin, QIN Gang, YANG Jin, LI Yanhui, ZHOU Xuchang, YANG Chunzhang, CHANG Chao, KONG Jincheng, LI Dongsheng. Analysis of Interface Control Methods for InAs/GaSb Type-Ⅱ Superlattice Materials Grown by MBE[J]. Infrared Technology , 2021, 43(4): 301-311. |
[2] | Comparison of NEA GaN and GaAs Photocathodes[J]. Infrared Technology , 2017, 39(12): 1073-1077. |
[3] | NIU Jun, WANG Ping, QIAN Yun-Sheng, CHANG Ben-kang. Characterization of the Absorption Coefficient of Varied Doped GaAs Photocathodes[J]. Infrared Technology , 2014, (7): 592-595. |
[4] | LI Xiao-feng, SHI Feng, FENG Liu. Study on Fluorescence of Transparent GaAs Cathode[J]. Infrared Technology , 2013, (6): 319-324. |
[5] | YU Li-jing, LI Yan-dong, XIN Si-shu, GUO Yu-hang, YANG Wen-yun. Interface Properties of Anodized InSb[J]. Infrared Technology , 2012, 34(4): 191-195. DOI: 10.3969/j.issn.1001-8891.2012.04.002 |
[6] | GAO Pin, ZHANG Yi-jun. Comparison of Spectral Characteristics on Different Reflection-Mode GaAs Photocathodes[J]. Infrared Technology , 2011, 33(7): 429-432. DOI: 10.3969/j.issn.1001-8891.2011.07.012 |
[7] | XIAO Yun-Chao, GUO Fang-Min. Optical Charge Memory of the GaAs/InGaAs Quantum Dot Well Diode[J]. Infrared Technology , 2011, 33(5): 281-283. DOI: 10.3969/j.issn.1001-8891.2011.05.008 |
[8] | GUO Xiang-yang, CHANG Ben-kang, QIAO Jian-liang, WANG Xiao-hui. Comparison of Stability of GaN and GaAs Photocathode[J]. Infrared Technology , 2010, 32(2): 117-120. DOI: 10.3969/j.issn.1001-8891.2010.02.014 |
[9] | DU Yu-jie, DU Xiao-qing, CHANG Ben-kang. Compare and Analysis of Spectral Response Characteristics of Foreign GaAs Photocathodes[J]. Infrared Technology , 2005, 27(3): 254-256. DOI: 10.3969/j.issn.1001-8891.2005.03.017 |
[10] | Automatic Measurement System of Characterization of GaAs/AlGaAs QWIP[J]. Infrared Technology , 2001, 23(2): 8-10,16. DOI: 10.3969/j.issn.1001-8891.2001.02.003 |
1. |
赵志燊,赵杰,余磊. 色谱理论课程教学与应用实例解析. 贵阳学院学报(自然科学版). 2023(04): 83-87 .
![]() |