An integrated safety prognosis model for complex system based on dynamic Bayesian network and ant colony algorithm
- 31 March 2011
- journal article
- Published by Elsevier BV in Expert Systems with Applications
- Vol. 38 (3), 1431-1446
- https://doi.org/10.1016/j.eswa.2010.07.050
Abstract
No abstract availableKeywords
This publication has 22 references indexed in Scilit:
- The application of integrated diagnosis database technology in safety management of oil pipeline and transferring pump unitsJournal of Loss Prevention in the Process Industries, 2009
- Intelligent condition-based prediction of machinery reliabilityMechanical Systems and Signal Processing, 2009
- An artificial neural network approach to compressor performance predictionApplied Energy, 2009
- Rotating machinery prognostics: State of the art, challenges and opportunitiesMechanical Systems and Signal Processing, 2009
- Machine and component residual life estimation through the application of neural networksReliability Engineering & System Safety, 2009
- Degradation state model-based prognosis for proactively maintaining product performanceCIRP Annals, 2008
- Hidden semi-Markov model-based methodology for multi-sensor equipment health diagnosis and prognosisEuropean Journal of Operational Research, 2007
- Residual life predictions for ball bearings based on self-organizing map and back propagation neural network methodsMechanical Systems and Signal Processing, 2007
- A review on machinery diagnostics and prognostics implementing condition-based maintenanceMechanical Systems and Signal Processing, 2006
- System health monitoring and prognostics — a review of current paradigms and practicesThe International Journal of Advanced Manufacturing Technology, 2006