中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Hybrid Time Frequency Response and Fuzzy Decision Tree for Non-stationary Signal Analysis and Pattern Recognition

文献类型:期刊论文

作者N. R. Nayak; P. K. Dash; R. Bisoi
刊名International Journal of Automation and Computing
出版日期2019
卷号16期号:3页码:398-412
关键词Non-stationary signals sparse S-transform (SST) scaling method fuzzy decision tree pattern classification.
ISSN号1476-8186
DOI10.1007/s11633-018-1113-3
英文摘要A Fourier kernel based time-frequency transform is a proven candidate for non-stationary signal analysis and pattern recognition because of its ability to predict time localized spectrum and global phase reference characteristics. However, it suffers from heavy computational overhead and large execution time. The paper, therefore, uses a novel fast discrete sparse S-transform (SST) suitable for extracting time frequency response to monitor non-stationary signal parameters, which can be ultimately used for disturbance detection, and their pattern classification. From the sparse S-transform matrix, some relevant features have been extracted which are used to distinguish among different non-stationary signals by a fuzzy decision tree based classifier. This algorithm is robust under noisy conditions. Various power quality as well as chirp signals have been simulated and tested with the proposed technique in noisy conditions as well. Some real time mechanical faulty signals have been collected to demonstrate the efficiency of the proposed algorithm. All the simulation results imply that the proposed technique is very much efficient.
源URL[http://ir.ia.ac.cn/handle/173211/42346]  
专题自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位Multidisciplinary Research Cell, Siksha O Anusandhan University, Khandagiri Square, Bhubaneswar 751030, India
推荐引用方式
GB/T 7714
N. R. Nayak,P. K. Dash,R. Bisoi. A Hybrid Time Frequency Response and Fuzzy Decision Tree for Non-stationary Signal Analysis and Pattern Recognition[J]. International Journal of Automation and Computing,2019,16(3):398-412.
APA N. R. Nayak,P. K. Dash,&R. Bisoi.(2019).A Hybrid Time Frequency Response and Fuzzy Decision Tree for Non-stationary Signal Analysis and Pattern Recognition.International Journal of Automation and Computing,16(3),398-412.
MLA N. R. Nayak,et al."A Hybrid Time Frequency Response and Fuzzy Decision Tree for Non-stationary Signal Analysis and Pattern Recognition".International Journal of Automation and Computing 16.3(2019):398-412.

入库方式: OAI收割

来源:自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。