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Gear Fault Recognition and Diagnosis Based on Ant Colony Optimization Algorithm
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作者 Mingzan Wang Jinzhong He 《Journal of Systems Science and Information》 2006年第3期495-500,共6页
introduce a new kind of swarm intelligence algorithm, the Ant Colony Optimization (ACO) algorithm. Propose a clustering analysis model based on ACO, apply the model to recognition and diagnosis of operation state fo... introduce a new kind of swarm intelligence algorithm, the Ant Colony Optimization (ACO) algorithm. Propose a clustering analysis model based on ACO, apply the model to recognition and diagnosis of operation state for gearbox. Testing four kinds of gears and clustering some characteristic parameters of the gear vibration signal, the conclusion shows that this method can recognize running state with accuracy and all speed. It is a new method for fault recognition and diagnosis. 展开更多
关键词 ant colony optimal algorithm CLUSTERING fault diagnosis RECOGNITION
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Solving Job-shop Scheduling Problem with an Ant Colony Optimization Algorithm Based on Mutation and Dynamic Pheromone Updating
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作者 Jia Na 《Journal of Systems Science and Information》 2006年第3期443-450,共8页
The validity of the ant colony algorithm has been demonstrated as a powerful tool solving the optimization. An ant colony optimization algorithm based on mutation and dynamic pheromone updating in this paper was appli... The validity of the ant colony algorithm has been demonstrated as a powerful tool solving the optimization. An ant colony optimization algorithm based on mutation and dynamic pheromone updating in this paper was applied to settle job shop scheduling problem. Result of computer simulation shows that this method is effective. 展开更多
关键词 ant colony optimization job shop scheduling mutation algorithm
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