Weighted kernel principal component analysis based on probability density estimation and moving window and its application in nonlinear chemical process monitoring

By Qingchao Jiang, Xue-feng Yan. 2013

48 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Control and Systems Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/59eb5fcfeed90bd596561c41c2c3743cfa367ef6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. Biao Huang
2. Steven X. Ding
3. Zhiqiang Ge
4. Zhihuan Song

In Control and Systems Engineering

1. Zhiqiang Ge
2. Biao Huang
3. Steven X. Ding
4. Zhihuan Song
5. Zhiwei Gao
6. Shen Yin
7. Bin Jiang
8. Hongtian Chen

In Mechanical Engineering

1. Biao Huang
2. Steven X. Ding
3. Zhiqiang Ge
4. Zhihuan Song

Citations in the corpus

• Data Mining and Analytics in the Process Industry: The Role of Machine Learning (2017, methodology): “Yang and Gao [132] developed a nonlinear form of the PCR model, and used it for online prediction and control for the product weigh in the injection molding process.”