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Dynamic Shannon entropy (DySEn): a novel method to detect the local anomalies of complex time series | |
He JY(何佳毅)1; Jinzhao Liu2; Pengjian Shang1; Yali Zhang1 | |
发表期刊 | NONLINEAR DYNAMICS |
2021 | |
卷号 | 104期号:4页码:4007-4022 |
摘要 | In this paper, dynamic Shannon entropy (DySEn) is introduced as a novel method to detect the abnormal changes of signals. It is a combination of Shannon entropy and the permuted distribution entropy (PDE). Experiments have proved that Shannon entropy is not sensitive to local disorder, and there may be no response even if the amplitude changes significantly. PDE does not work well with chaotic sequences, unless the abnormal area and the normal one have obvious differences in periodicity. However, DySEn can deal with those problems at the same time based on both traditional statistical characteristics and dynamic characteristics. Our experiments show that it can provide an effective way to the anomaly detection for periodic signals, complex signals and the mixed signals. We also apply it to detect the rail corrugations. DySEn can effectively locate the abnormal areas, and, with the help of PDE, it can be seen that the periodicity of the abnormal areas has increased significantly, which is in line with the situation of rail corrugations. |
URL | 查看原文 |
收录类别 | SCI |
七大方向——子方向分类 | 复杂系统理论与方法 |
国重实验室规划方向分类 | 多尺度信息处理 |
是否有论文关联数据集需要存交 | 否 |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/57439 |
专题 | 多模态人工智能系统全国重点实验室_模式分析与学习 |
作者单位 | 1.北京交通大学 2.国铁集团铁道科学研究院 |
推荐引用方式 GB/T 7714 | He JY,Jinzhao Liu,Pengjian Shang,et al. Dynamic Shannon entropy (DySEn): a novel method to detect the local anomalies of complex time series[J]. NONLINEAR DYNAMICS,2021,104(4):4007-4022. |
APA | He JY,Jinzhao Liu,Pengjian Shang,&Yali Zhang.(2021).Dynamic Shannon entropy (DySEn): a novel method to detect the local anomalies of complex time series.NONLINEAR DYNAMICS,104(4),4007-4022. |
MLA | He JY,et al."Dynamic Shannon entropy (DySEn): a novel method to detect the local anomalies of complex time series".NONLINEAR DYNAMICS 104.4(2021):4007-4022. |
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NODY-He2021_Article_(4275KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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