Feature extraction for rolling element bearing fault diagnosis utilizing generalized S transform and two-dimensional non-negative matrix factorization

By Bing Li, Peilin Zhang, Dongsheng Liu, Shuang-shan Mi, Guo-quan Ren, Hao Tian. 2011

94 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/eb83924e3488283a84172e0a17f3c3153f1a936a

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. Liang Gao
2. Xinyu Li
3. Long Wen
4. Yuyan Zhang
5. Shen Zhang
6. Bingnan Wang
7. Shibo Zhang
8. Thomas G. Habetler

In Mechanical Engineering

1. Liang Gao
2. Xinyu Li
3. Long Wen

Citations in the corpus

• A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method (2018, methodology): “[33] investigated a featureextraction model based on 2-D nonnegative matrix factorization and generalized S transform proposed.”