Fuzzy–Bayesian network for refrigeration compressor performance prediction and test time reduction

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.