瞬态声与粗糙集在轴承故障诊断中的应用  

Application of Transient Acoustic Signal and Rough Set in Fault Diagnosis of Bearings

作　　者：沈仁发[1] 郑海起[1] 金海薇[2] 康海英[1] 董自卫[3] 

机构地区：[1]军械工程学院火炮工程系,石家庄050003 [2]装备指挥技术学院重点实验室,北京101416 [3]武汉军械士官学校枪炮系,武汉430075

出　　处：《轴承》2009年第12期44-47,共4页Bearing

基　　金：国家自然科学基金资助项目(50775219)

摘　　要：针对设备实车测试中无法得到稳态信号的制约,以及常规的振动测试方法无法实现非接触、不解体、无损在线检测的弊端,提出了利用瞬态声信号对轴承进行故障诊断。并利用粗糙集理论对故障诊断决策表进行约简,形成清晰、简明的故障诊断规则,有效地提高了轴承故障诊断的精度和效率。The steady state signal can t be obtained in equipment full scale test and the conventional vibration test method can t be used for non-contact,undisassembly and non-destructive online test.Aimed at those restriction,the transient acoustic signal is used for fault diagnosis of bearings,and fault diagnosis decision table is reduced using rough set theory,forming clear and concise fault diagnosis rules.As a result,accuracy and efficiency of fault diagnosis of bearings are improved effectively.

关 键 词：滚动轴承 故障诊断 瞬态声 粗糙集理论 约简 算法 

分 类 号：TH133.33[机械工程—机械制造及自动化] TH165.3