| 基于粒子群聚类分析与证据理论的船舶机械振动诊断 |
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| 引用本文： | 董华玉,李金寿,笪靖.基于粒子群聚类分析与证据理论的船舶机械振动诊断[J].机电设备,2011,28(5):9-12. |
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| 作者姓名： | 董华玉 李金寿 笪靖 |
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| 作者单位： | 镇江船艇学院,镇江,212003 |
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| 摘 要： | 粒子群算法避免了复杂的遗传操作,是一种有效的全局寻优算法,用于聚类分析可以更快地收敛于最优解；D-S证据理论提出了不同于贝叶斯主义和频率主义的构造性解释,非常适用于存在大量不确定性因素的故障诊断工作.将故障机械的振动信号按时域、频域、小波包域分解为多个参数空间.采用粒子群聚类分析算法对机械故障进行局部诊断,将局部诊断结...
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| 关 键 词： | 船舶机械 振动诊断 粒子群聚类分析 D-S证据理论 |
Vibration Diagnosis of Ship Machinery Based on PSO Cluster Algorithm and D-S Theory |
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| DONG Hua-yu,LI Jin-shou,DA Jing.Vibration Diagnosis of Ship Machinery Based on PSO Cluster Algorithm and D-S Theory[J].Mechanical and Electrical Equipment,2011,28(5):9-12. |
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| Authors: | DONG Hua-yu LI Jin-shou DA Jing |
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| Institution: | DONG Hua-yu,LI Jin-shou,DA Jing(Zhenjiang Watercraft College,Zhenjiang 212003,China) |
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| Abstract: | As an efficient global optimization algorithm,particle swarm optimization(PSO) avoids complicated genetic operation.Using PSO algorithm,the optimized solution of cluster analysis could be obtained.Different from the Bayesianism and Frequencism,the D-S evidence theory proposes a constructional explanation,and could be used in fault diagnosis which has a great quantity of uncertainty.Decomposing the vibration signal of the broken-down machine by waveform,frequency domain and wavepacket domain,the PSO cluster ... |
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| Keywords: | Ship machinery Vibration diagnosis PSO cluster analysis D-S evidence theory |
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