Detection of rolling bearing defects using discrete wavelet analysis

By A. Djebala, N. Ouelaa, N. Hamzaoui. 2008

105 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/0f3096bdd8b1fb43c53d8c7d87835940f0ac9123

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. Ruqiang Yan
2. Xuefeng Chen
3. Robert X. Gao
4. Bin Jiang
5. Hongtian Chen
6. Qingbo He
7. Noureddine Zerhouni
8. Kamal Medjaher

In Mechanical Engineering

1. Robert X. Gao
2. Ruqiang Yan
3. Xuefeng Chen

Citations in the corpus

• Wavelets for fault diagnosis of rotary machines: A review with applications (2014, methodology): “Djebala optimized the wavelet multi-resolution analysis using kurtosis as a measure to get clear signal for early defect detection [80].”