Fracture mechanics and mechanical fault detection by artificial intelligence methods: A review
- 1 November 2017
- journal article
- review article
- Published by Elsevier BV in Engineering Failure Analysis
- Vol. 81, 270-293
- https://doi.org/10.1016/j.engfailanal.2017.07.011
Abstract
No abstract availableThis publication has 105 references indexed in Scilit:
- Intelligent fault inference for rotating flexible rotors using Bayesian belief networkExpert Systems with Applications, 2012
- Damage detection with genetic algorithms taking into account a crack contact modelEngineering Fracture Mechanics, 2011
- Applying neural networks, genetic algorithms and fuzzy logic for the identification of cracks in shafts by using coupled response measurementsComputers & Structures, 2008
- Application of a Novel Hybrid Intelligent Method to Compound Fault Diagnosis of Locomotive Roller BearingsJournal of Vibration and Acoustics, 2008
- Prediction of fracture parameters of concrete by Artificial Neural NetworksEngineering Fracture Mechanics, 2004
- A case-based reasoning system for identifying failure mechanismsEngineering Applications of Artificial Intelligence, 2000
- Prediction of fracture toughness using artificial neural networks (ANNs)Engineering Fracture Mechanics, 1997
- AN APPLICATION OF GENETIC ALGORITHMS TO IDENTIFY DAMAGE IN ELASTIC STRUCTURESJournal of Sound and Vibration, 1996
- An expert system approach to fracture mechanicsEngineering Fracture Mechanics, 1995
- An expert system in fracture mechanicsEngineering Fracture Mechanics, 1995