Fault detection and diagnosis based on modified independent component analysis

By Jong-Min Lee, S. Qin, In-Beum Lee. 2006

394 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Mechanical Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/09caf8d83454744e12416f4b236547eaf6cf946b

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. Shen Yin
2. Steven X. Ding
3. Hao Luo
4. Xiaochen Xie
5. Zhiwei Gao
6. Bin Jiang
7. Hongtian Chen
8. Liang Gao

In Mechanical Engineering

1. Steven X. Ding
2. Shen Yin
3. Hao Luo
4. Xiaochen Xie
5. Zhiwei Gao
6. Bin Jiang
7. Hongtian Chen

In Statistics and Probability

1. Steven X. Ding
2. Hao Luo
3. Shen Yin
4. Xiaochen Xie

Citations in the corpus

• A Review on Basic Data-Driven Approaches for Industrial Process Monitoring (2014, methodology): “An alternative modified ICA algorithm is proposed in [65], which provides a unique solution of ICs and needs less computation cost than the standard approach.”
• A novel intelligent diagnosis method using optimal LS-SVM with improved PSO algorithm (2017, methodology): “Lee et al. (2006) proposed a hybrid fault diagnosis model based on the signed digraph and support vector machine.”