电子科技大学学报2024，Vol.53Issue(6)：922-929,8.DOI:10.12178/1001-0548.2023146
基于多阶有源带通滤波器和在线相关系数的负载在线智能识别
Online Intelligent Recognition of Load Based on Multiorder Active Bandpass Filter and Online Correlation Coefficient
赵仕良 1李宇琪 1汪琴 1纪飞虎 1黎帅 1熊有志1
作者信息
- 1. 四川师范大学物理与电子工程学院,成都 610101
- 折叠
摘要
Abstract
In this paper,a mathematical model of load online recognition problem is established in time domain,and the recognition task is shared by hardware and algorithm.A multiorder active band-pass filter is used for hardware preprocessing to convert the load signals with large power difference into voltage signals that can be collected under the same condition.The online correlation coefficient is defined from the Pearson correlation coefficient as the only time domain characteristic parameter,and the judgment criterion of"online correlation coefficient gradually increases and eventually equals 1"is proposed.The maximum first alignment method and the mean method are used for data processing,and the successive comparison method and the screening method are combined for recognition.The experiment results show that based on a fifth-order active band-pass filter with the bandwidth of 340 Hz to 900 Hz and online correlation algorithm in STM32 processor the system can well complete the intelligent recognition of any online combination of a power difference of more than 1500 times(i.e.induction cooker,rice cooker,laptop,and small light bulb).关键词
在线相关系数/有源带通滤波器/皮尔孙相关系数/最大值首位对齐法/逐次比较法/筛选法Key words
online correlation coefficient/active band-pass filter/pearson correlation coefficient/maximum first alignment method/successive comparison method/screening method分类
信息技术与安全科学引用本文复制引用
赵仕良,李宇琪,汪琴,纪飞虎,黎帅,熊有志..基于多阶有源带通滤波器和在线相关系数的负载在线智能识别[J].电子科技大学学报,2024,53(6):922-929,8.
