Supervised locally linear embedding projection (SLLEP) for machinery fault diagnosis

By Benwei Li, Yun Zhang. 2011

89 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/34cf4338f92ee963d9b9a2eb7c79931332412779

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. Dongxiang Jiang
2. Lei Wang
3. Te Han

In Mechanical Engineering

1. Dongxiang Jiang
2. Te Han

Citations in the corpus

• Comparison of random forest, artificial neural networks and support vector machine for intelligent diagnosis of rotating machinery (2018, methodology): “Li and Zhang (2011) presented a feature extraction method of supervised locally linear embedding projection (SLLEP) and a minimum-distance classifier in their diagnostic scheme.”