Data-driven semi-supervised and supervised learning algorithms for health monitoring of pipes

标题
Data-driven semi-supervised and supervised learning algorithms for health monitoring of pipes
作者
关键词
Data-driven structural health monitoring, Damage detection, Wave propagation in pipes, Hierarchical clustering, Multinomial logistic regression
出版物
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Volume 131, Issue -, Pages 524-537
出版商
Elsevier BV
发表日期
2019-06-13
DOI
10.1016/j.ymssp.2019.06.003

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

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search