Fusion of qualitative bond graph and genetic algorithms: A fault diagnosis application-Reference-Cited by-同舟云学术

Fusion of qualitative bond graph and genetic algorithms: A fault diagnosis application

Published:2002-10 Issue:4 Volume:41 Page:445-456
ISSN:0019-0578
Container-title:ISA Transactions
language:en
Short-container-title:ISA Transactions

Author:

Lo C.H.,Wong Y.K.,Rad A.B.,Chow K.M.

Publisher

Elsevier BV

Subject

Applied Mathematics,Control and Systems Engineering,Electrical and Electronic Engineering,Computer Science Applications,Instrumentation

Reference29 articles.

1. Biswas, G., Yu, X., and Debelak, K., A formal model-ling scheme for continuous-valued systems: Focus on diagnosis. The Sixth International Workshop on Qualitative Reasoning About Physical Systems, Heriot-Watt University, Edinburgh, 1996, pp. 302-321.

2. Robust Model-Based Fault Diagnosis for Dynamic Systems;Chen,1999

3. Fault diagnosis of air conditioning systems based on qualitative bond graph;Ghiaus;Energy Build.,1999

4. A fuzzy-based genetic approach to the diagnosis of manufacturing systems;Khoo;Eng. Applic. Artif Intell.,2000

5. Diagnosis of continuous valued systems in transient operating regions;Mosterman;IEEE Trans. Syst. Man Cybern.,1999

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fault detection and diagnosis of marine diesel engines: A systematic review;Ocean Engineering;2024-02

2. SuperGraph: Spatial-Temporal Graph-Based Feature Extraction for Rotating Machinery Diagnosis;IEEE Transactions on Industrial Electronics;2022-04

3. Imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning;Frontiers of Mechanical Engineering;2021-08-31

4. A fault detection method for FADS system based on interval-valued neutrosophic sets, belief rule base, and D-S evidence reasoning;Aerospace Science and Technology;2021-07

5. Dynamic graph-based feature learning with few edges considering noisy samples for rotating machinery fault diagnosis;IEEE Transactions on Industrial Electronics;2021