Realizing the empirical mode decomposition by the adaptive stochastic resonance in a new periodical model and its application in bearing fault diagnosis

标题
Realizing the empirical mode decomposition by the adaptive stochastic resonance in a new periodical model and its application in bearing fault diagnosis
作者
关键词
Empirical mode decomposition, Adaptive stochastic resonance, Bearing fault diagnosis, Random particle swarm optimization algorithm
出版物
Journal of Mechanical Science and Technology
Volume 31, Issue 10, Pages 4599-4610
出版商
Springer Nature
发表日期
2017-10-17
DOI
10.1007/s12206-017-0906-6

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now