TY - GEN
T1 - A novelty degradation assessment method for equipment based on multi-kernel SVDD
AU - Zhu, Yongsheng
AU - Song, Yinghua
AU - Zhu, Xiaoran
AU - Zhang, Youyun
PY - 2012
Y1 - 2012
N2 - Support vector data description (SVDD) has been applied to performance degradation assessment for years. But single kernel may not describe the varying distribution very well. Multi-kernel learning (MKL) method was developed and proved to perform better than single kernel. Previous studies have been conducted to build up a fixed model, which takes the sample distance as the assessment index. However, different condition may have the same distribution in feature space. In this paper, we proposed a new robust method for bearing performance degradation assessment based on multi-kernel SVDD, and designed a new index with hyper-sphere radius. The experiment results show that the new index can reflect the degradation's development exactly.
AB - Support vector data description (SVDD) has been applied to performance degradation assessment for years. But single kernel may not describe the varying distribution very well. Multi-kernel learning (MKL) method was developed and proved to perform better than single kernel. Previous studies have been conducted to build up a fixed model, which takes the sample distance as the assessment index. However, different condition may have the same distribution in feature space. In this paper, we proposed a new robust method for bearing performance degradation assessment based on multi-kernel SVDD, and designed a new index with hyper-sphere radius. The experiment results show that the new index can reflect the degradation's development exactly.
UR - https://www.scopus.com/pages/publications/84872580060
U2 - 10.1109/CoASE.2012.6386504
DO - 10.1109/CoASE.2012.6386504
M3 - 会议稿件
AN - SCOPUS:84872580060
SN - 9781467304283
T3 - IEEE International Conference on Automation Science and Engineering
SP - 753
EP - 756
BT - 2012 IEEE International Conference on Automation Science and Engineering
T2 - 2012 IEEE International Conference on Automation Science and Engineering: Green Automation Toward a Sustainable Society, CASE 2012
Y2 - 20 August 2012 through 24 August 2012
ER -