A new approach to intelligent fault diagnosis of rotating machinery

By Yaguo Lei, Zhengjia He, Yanyang Zi. Expert systems with applications, 2008

402 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/3196bf8b2f965810f8a53a3d57ecb439feb00c97

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. Haidong Shao
2. Hongkai Jiang
3. Tianchen Liang
4. Haizhou Zhang
5. Shen Zhang
6. Bingnan Wang
7. Shibo Zhang
8. Thomas G. Habetler

In Mechanics of Materials

1. Tianchen Liang
2. Haizhou Zhang
3. Haidong Shao
4. Hongkai Jiang

Citations in the corpus

• Electric Locomotive Bearing Fault Diagnosis Using a Novel Convolutional Deep Belief Network (2018, methodology): “[11] to reveal bearing working conditions, and ANFIS was used for fault diagnosis.”