| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 495349 | Applied Soft Computing | 2014 | 11 Pages |
Abstract
- A novel fuzzy and probabilistic simultaneous-fault diagnosis (FPSD) framework for engine fault detection.
- An attempt at applying fuzzy logic and probabilistic classifiers together for simultaneous-fault diagnosis.
- A pairwise coupling strategy is applied to enhance the diagnostic accuracy.
- A case study for demonstrating the effectiveness of the FPSD framework.
- Comprehensive comparisons among the FPSD framework with existing methods.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Chi Man Vong, Pak Kin Wong, Ka In Wong,