Multi-sample-distances-fusion-and generalized-Pareto-distribution-based open-set fault diagnosis of rolling bearing
Z Zhang, G Nie, M Shao, L Li, J Zhou, S Shao - Nonlinear Dynamics, 2023 - Springer
It is not so easy to obtain the complete fault data for mechanical equipment toward certain
variable working conditions. Traditional deep learning algorithms based on limited training …
variable working conditions. Traditional deep learning algorithms based on limited training …
Semi-supervised sparse representation classification for sleep EEG recognition with imbalanced sample sets
X Wuzheng, S Zuo, L Yao, X Zhao - Journal of Mechanics in …, 2021 - World Scientific
Sleep staging with supervised learning requires a large amount of labeled data that are time-
consuming and expensive to collect. Semi-supervised learning is widely used to improve …
consuming and expensive to collect. Semi-supervised learning is widely used to improve …
On-line quality monitoring and lifetime prediction of thick Al wire bonds using signals obtained from ultrasonic generator
E Arjmand - 2016 - eprints.nottingham.ac.uk
The reliable performance of power electronic modules has been a concern for many years
due to their increased use in applications which demand high availability and longer …
due to their increased use in applications which demand high availability and longer …