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基于多尺度小波变换和时频图的微波源故障检测 被引量:9

Fault detection of microwave source based on multi-scale wavelet transform and time-frequency diagram
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摘要 针对目前大功率微波加热系统的微波源队列只有工作与否的二值检测,为了提高其队列运行的经济性和可靠性,在线实时检测微波源队列的运行状态及变化非常必要。提出一种基于多尺度小波变换和时频图的微波源故障检测方法。首先,根据电场强度的变化情况判断微波源队列是否发生故障。其次计算出残差信号,并根据残差在多尺度下的变化情况完成检测。最后,绘制残差信号的小波时频图,对检测结果进行可视化分析。对微波源的3种故障状态分别进行实例仿真,检测出t=80、90、100 s分别发生3种故障。仿真结果表明,利用连续小波变换的分析方法对微波源队列进行故障检测,可以准确的在线检测出微波源队列中故障微波源的位置以及发生故障的时刻。 The microwave source queue of high-power microwave heating system have only binary detection of whether there are running or not. Online real-time detection of the working status and changes of the microwave source queue is necessary in order to improve the economy and reliability of its queue. A microwave source fault detection method based on multi-scale wavelet transform and time-frequency diagram is proposed. Firstly, the fault of microwave source queue is judged according to the change of electric field intensity. Secondly, calculate the residual signal, and the detection is completed according to the change of the residual signal at multiple scales. Finally, the wavelet time-frequency spectrum of the residual signal is drawn to obtain the perform visual analysis of the detection results. Three fault states of microwave source are simulated respectively. Three types of faults were detected at t=80、90、100 s respectively. Simulation results show the continuous wavelet transform analysis method is used to detect the fault of the microwave source queue, which can accurately detect the fault location and time of microwave source queue online.
作者 朱娜 母其海 刘志邦 邓卓 杨彪 Zhu Na;Mu Qihai;Liu Zhibang;Deng Zhuo;Yang Biao(School of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650500,China)
出处 《电子测量技术》 北大核心 2021年第13期48-53,共6页 Electronic Measurement Technology
关键词 多尺度小波变换 小波时频图 大功率微波加热系统 微波源队列 故障检测 multi-scale wavelet transform wavelet time-frequency diagram high-power microwave heating system microwave source fault detection
作者简介 朱娜,硕士研究生,主要研究方向为多物理场耦合软测量及数值计算。E-mail:2298139593@qq.com;通信作者:杨彪,博士,教授,硕士生导师,主要研究方向为复杂过程的优化和控制、多智能体的协调输出与分布式协同控制、微波能等新能源的优化与评估、多物理场耦合软测量及数值计算等。E-mail:ybiaocn@163.com。
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  • 1宫文峰,陈辉,张美玲,张泽辉.基于深度学习的电机轴承微小故障智能诊断方法[J].仪器仪表学报,2020,41(1):195-205. 被引量:98
  • 2吴艳娟,刘碧莹,刘春青.钢卷连续酸洗线工艺及主要设备特点[J].冶金设备,2005(4):58-61. 被引量:5
  • 3段礼祥,张来斌,王朝晖,张东亮.柴油机振动信号的小波包奇异值降噪[J].中国石油大学学报(自然科学版),2006,30(1):93-97. 被引量:22
  • 4姚忠卯,于杰栋,皇甫雅志.冷轧带钢酸轧机组的选择及应用[J].河南冶金,2007,15(2):11-14. 被引量:6
  • 5秦前清,实用小波分析,1994年
  • 6杨福生,随机信号分析,1990年
  • 7田培根,刘海军,周学军,等.锚害对海底光缆线路的安全威胁及应对措施研究[C]//中国通信学会.中国通信学会2009年光缆电缆学术年会论文集.成都:中国通信学会,2009.
  • 8MAUGHAN S M, KEE H H, NEWSON T P. Simultaneous distributed fibre temperature and strain sensor using microwave coherent detection of spontaneous Brillouin backscatter [ J l- Measurement Science and Technology, 2001 (12) : 834 - 842.
  • 9HIROHUMI T, OSAMU F, KENICHI Y, et al. 66 kV XLPE submarine cable with optical fiber sensors to detect anchor dam- age and defacement of wire armor [ J 1. IEEE Transactions on Power Delivery, 1995, 10(4) : 1718 - 1723.
  • 10NISHIMOTO T, MIYAHARA T, Takehana H, et al. Develop- ment of 66 kV XLPE submarine cable using optical fiber as a mechanical damage detection sensor I J ]. IEEE Transaction on Power Delivery, 1995, 10(4) : 1711 - 1737.

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