✦ LIBER ✦

Weak fault monitoring method for batch process based on multi-model SDKPCA

✍ Scribed by Ya-Jun Wang; Ming-Xing Jia; Zhi-Zhong Mao

Book ID: 118428949
Publisher: Elsevier Science
Year: 2012
Tongue: English
Weight: 968 KB
Volume: 118
Category: Article
ISSN: 0169-7439
DOI: 10.1016/j.chemolab.2012.07.007

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Monitoring and Fault Diagnosis for Batch

Monitoring and Fault Diagnosis for Batch Process Based on Feature Extract in Fisher Subspace

✍ Xu ZHAO; Weiwu YAN; Huihe SHAO 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 588 KB

Stage-based soft-transition multiple PCA

Stage-based soft-transition multiple PCA modeling and on-line monitoring strategy for batch processes

✍ Chunhui Zhao; Fuli Wang; Ningyun Lu; Mingxing Jia 📂 Article 📅 2007 🏛 Elsevier Science 🌐 English ⚖ 356 KB

A reliable multi-objective control strat

A reliable multi-objective control strategy for batch processes based on bootstrap aggregated neural network models

✍ Ankur Mukherjee; Jie Zhang 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 340 KB

Fault recognition method for speed-up an

Fault recognition method for speed-up and speed-down process of rotating machinery based on independent component analysis and Factorial Hidden Markov Model

✍ Zhinong Li; Yongyong He; Fulei Chu; Jie Han; Wei Hao 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 213 KB

The behavior characteristics of the speed-up and speed-down process of rotating machinery possess the distinct diagnostic value. The abundant information, non-stationarity, poor repeatability and reproducibility in this process lead to the necessity to find the corresponding method of feature extrac