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Gear Fault Recognition and Diagnosis Based on Ant Colony Optimization Algorithm

Gear Fault Recognition and Diagnosis Based on Ant Colony Optimization Algorithm
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摘要 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.
机构地区 Northeastern University [
出处 《Journal of Systems Science and Information》 2006年第3期495-500,共6页 系统科学与信息学报(英文)
关键词 ant colony optimal algorithm CLUSTERING fault diagnosis RECOGNITION 蚂蚁集群优化算法 聚类 故障诊断 识别技术
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