Application of Ant Colony Algorithms and Neural Networks in Fault Diagnosis

Jing Bo Yu

doi:10.4028/www.scientific.net/AMM.556-562.3014

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562Application of Ant Colony Algorithms and Neural...

Application of Ant Colony Algorithms and Neural Networks in Fault Diagnosis

Abstract:

Neural network technology is widely applied due to its computational simplicity and versatility. But, this method has some weak points, for example, slow convergence, less accurate and easy to fall into local minimum points. Combined ant colony algorithm and neural network for fault diagnosis, it can overcome the limitations of a single fault diagnosis method. Ant colony neural network method is applied to gearbox fault diagnosis, the results show that the diagnosis with characteristics of high precision, strong scientific and practical wider.

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Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

3014-3017

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.3014

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Online since:

May 2014

Authors:

Jing Bo Yu*

Keywords:

Ant Colony Algorithm, Neural Network (NN), Troubleshooting

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* - Corresponding Author

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