A novel method to improve the resolution of envelope spectrum for bearing fault diagnosis based on a wireless sensor node

Guojin Feng, Dong Zhen, Xiange Tian, Fengshou Gu, Andrew D. Ball

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

In this paper, an accurate envelope analysis algorithm is developed for a wireless sensor node. Since envelope signals employed in condition monitoring often have narrow frequency bandwidth, the proposed algorithm down-samples and cascades the analyzed envelope signals to construct a relatively long one. Thus, a relatively higher frequency resolution can be obtained by calculating the spectrum of the cascaded signal. In addition, a 50% overlapping scheme is applied to avoid the distortions caused by Hilbert transform based envelope calculation. The proposed method is implemented on a wireless sensor node and tested successfully for detecting an outer race fault of a rolling bearing. The results show that the frequency resolution of the envelope spectrum is improved by 8 times while the data transmission remains at a low rate.

Original languageEnglish
Title of host publicationVibration Engineering and Technology of Machinery - Proceedings of VETOMAC X, 2014
PublisherKluwer Academic Publishers
Pages765-775
Number of pages11
Volume23
ISBN (Electronic)9783319099170
DOIs
Publication statusPublished - 2015
Event10th International Conference on Vibration Engineering and Technology of Machinery - Manchester Conference Centre, Manchester, United Kingdom
Duration: 9 Sep 201411 Sep 2014
Conference number: 10
http://www.mace.manchester.ac.uk/our-research/seminars/vetomac-x-2014/ (Link to Conference Details)

Conference

Conference10th International Conference on Vibration Engineering and Technology of Machinery
Abbreviated titleVETOMAC 2014
Country/TerritoryUnited Kingdom
CityManchester
Period9/09/1411/09/14
Internet address

Fingerprint

Dive into the research topics of 'A novel method to improve the resolution of envelope spectrum for bearing fault diagnosis based on a wireless sensor node'. Together they form a unique fingerprint.

Cite this