Abstract
Based on the analysis of complex data characteristics due to the process characteristics or the data collection and storage problem, the developments of theory the researches on complex industry process multivariate statistical monitoring are reviewed. The advantages, development, applicable domain of the data-based and knowledge-based diagnosis methods are discussed. And the possibility of these two types of methods' combination are studied. Finally, some problems and their research tendencies in this field are presented.
| Translated title of the contribution | Progress of data-driven and knowledge-driven process monitoring and fault diagnosis for industry process |
|---|---|
| Original language | Chinese (Simplified) |
| Pages (from-to) | 801-807, 813 |
| Journal | 控制与决策/Control and Decision |
| Volume | 25 |
| Issue number | 6 |
| Publication status | Published - Jun 2010 |
| Externally published | Yes |
Research Keywords
- Data-based fault diagnosis
- Industry process
- Knowledge-based fault diagnosis
- Multivariate statistical process monitoring
- 多元统计过程监视
- 基于数据的诊断
- 基于知识的诊断
- 工业过程
Fingerprint
Dive into the research topics of 'Progress of data-driven and knowledge-driven process monitoring and fault diagnosis for industry process'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver