@inproceedings{918560f73f8d4fa985326a1f334c9854,
title = "Signal singularity detection based on the hermitian wavelet for fault diagnosis",
abstract = "On Big Data analysis for fault diagnosis, health monitoring \& fault tolerance of rockets and spacecrafts in aerospace industry, as the local anomaly induced signals tend to have singularity, this paper presents a guideline to employ the time-scale amplitude and phase diagrams based on the Hermitian wavelet transform to identify signal singularities. Firstly, the principle of signal singularity detection based on wavelet transform is formulated. Secondly, the definitions, characteristics, and expressions of the Hermitian wavelet transform is studied. Finally, simulations are carried out to verify the proposed algorithms.",
keywords = "amplitude diagram, hermitian wavelet, phase diagram, signal singularity, time-scale analysis",
author = "Jian Chen and Wen Li and Qingdong Li and Peng Li and Chengbin Lian and Zhang Ren",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 International Conference on Cloud Computing and Big Data, CCBD 2014 ; Conference date: 12-11-2014 Through 14-11-2014",
year = "2014",
month = mar,
day = "17",
doi = "10.1109/CCBD.2014.33",
language = "英语",
series = "Proceedings - 2014 International Conference on Cloud Computing and Big Data, CCBD 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "116--118",
booktitle = "Proceedings - 2014 International Conference on Cloud Computing and Big Data, CCBD 2014",
address = "美国",
}