Name
Title | ||
|---|---|---|
A Quality-Based Nonlinear Fault Diagnosis Framework Focusing on Industrial Multimode Batch Processes. |
Abstract | ||
|---|---|---|
This paper proposes a framework for quality-based fault detection and diagnosis for nonlinear batch processes with multimode operating environment. The framework seeks to address 1) the mode partition problem using a kernel fuzzy C-clustering method, and the optimal cluster number will be guaranteed by a between-within proportion index; 2) the diagnosis problem using a contribution rate method bas... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TIE.2016.2520906 | IEEE Transactions on Industrial Electronics |
Keywords | Field | DocType |
Kernel,Steel,Indexes,Strips,Fault diagnosis,Yttrium,Principal component analysis | Kernel (linear algebra),Flatness (systems theory),Partition problem,Data mining,Engineering drawing,Fault detection and isolation,Fuzzy logic,Hybrid kernel,Determining the number of clusters in a data set,Control engineering,Engineering,Strip steel | Journal |
Volume | Issue | ISSN |
63 | 4 | 0278-0046 |
Citations | PageRank | References |
13 | 0.59 | 10 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kaixiang Peng | 1 | 19 | 2.80 |
| Kai Zhang | 2 | 71 | 7.38 |
| Bo You | 3 | 20 | 1.23 |
| Jie Dong | 4 | 23 | 2.68 |
| Zidong Wang | 5 | 11003 | 578.11 |