alexa Abstract | A new transmission gearboxes fault diagnosis system based on Bistable Stochastic Resonance

Journal of Chemical and Pharmaceutical Research
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Original Articles Open Access

Abstract

This paper proposed a new transmission gearboxes fault diagnosis system and introduced motor current signal analysis to drive gearbox fault diagnosis, use stochastic resonance theory and DTW algorithm to introduce fault signal processing and fault analysis. Discuss the possibility of system programming based on mixed language programming for VC++and MATLAB. Demonstrated a new method for the special conditions of gearbox fault diagnosis system. Predictable, it has great value in the future fault diagnosis.

To read the full article Peer-reviewed Article PDF image

Author(s): Shang Zhiwu Liu Zhenwu Chang Zhu Li Yafeng and Wang Taiyong

Keywords

Diagnosis system, Fault diagnosis, Dynamic time warping, Stochastic resonance

 
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords