| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 385221 | Expert Systems with Applications | 2012 | 6 Pages |
Abstract
A typical characteristic of refrigeration compressor performance tests is their long duration. A reduction in the time periods related to this activity can be achieved using unsteady-state data analysis. This paper presents an original approach to predicting compressor performance using Bayesian networks and a hybrid Fuzzy–Bayesian network. All analysis was performed using real test data.
► Refrigerating compressor performance test time reduction from 150 min to 50 min. ► Fuzzy–Bayesian networks are suitable for compressor performance analysis. ► Fuzzy treatment of information can improve Bayesian network performance.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Cesar A. Penz, Carlos A. Flesch, Silvia M. Nassar, Rodolfo C.C. Flesch, Marco A. de Oliveira,