Degradation trend estimation of slewing bearing based on LSSVM model

By Chao Lu, Jie Chen, R. Hong, Yang Feng, Yuanyuan Li. 2016

95 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/519095f1bc356153115954921f121809d44d3c05

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Dong Wang
2. Kwok Leung Tsui
3. Qiang Miao

In Mechanics of Materials

1. Dong Wang
2. Kwok Leung Tsui
3. Qiang Miao

Citations in the corpus

• Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators (2018, methodology): “[118] used principle component analysis to fuse multiple feature vectors including root mean square, kurtosis, wavelet energy entropy and intrinsic mode function energy to form a bearing health indicator for slewing bearing degradation.”