融合K-S检验和SPWVD的顶锤裂纹检测方法
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摘要
在交变的高温高压环境下,人造金刚石压机中的硬质合金顶锤易出现裂纹,如果不及时检测并更换裂锤会造成更多顶锤瞬间同时破裂,从而造成重大的经济损失。针对如何检测顶锤裂纹,提出了一种基于Kolmogorov-Smirnov(K-S)检验和平滑伪维格纳分布(SPWVD)的方法。该方法根据脆性材料在产生裂纹时会伴随着声发射波释放的特点,结合突发型声发射信号属于高频率高能量信号的特性,首先将顶锤裂纹信号设为模版,并对采集的声发射信号进行加窗截取,然后利用双样本同分布Kolmogorov-Smirnov检验对截取的信号进行匹配,对匹配到的疑似顶锤裂纹信号进一步利用平滑伪维格纳分布进行分析,根据得到的频谱信息确定顶锤是否出现裂纹。利用顶锤在平稳以及两种突发型声发射状态对所提方法进行验证,实验结果表明该方法能够准确检测出顶锤裂纹,适合金刚石压机顶锤裂纹的在线检测。
Under the circumstance of high temperature and high pressure,the carbide anvil of artificial diamond subjects to crack.If the cracked one is not inspected and replaced in time,it may cause more anvils to scrap simultaneously,which will result in serious economic loss. Aiming at how todetect the crack in the anvil,a new method based on K-S test and the smoothed pseudo Wigner-Ville distribution is presented. A stheacoustic emission is accompanied when the brittle materials cracks,and combine the features that the burst acoustic emission signal belongs to the high frequency and high energy one,firstly,the crack signal of anvil is set to bethetemplate,and do interception by add windows on the collectedacoustic emission signal,and then match the signals intercepted by the double sample and same distribution Kolmogorov-Smirnov test. For the matched anvilcracksignal,analysisit by smooth pseudo Wigner distribution further,and determine whether the anvil is crack according to the spectrum information obtained.At last,the proposed method is verified by using the data under smooth and two burst acoustic emission states. The experiment results show that this method can accurately detect the cracks of the anvil,and can be used for online monitoring for the cracks of anvil.
Under the circumstance of high temperature and high pressure,the carbide anvil of artificial diamond subjects to crack.If the cracked one is not inspected and replaced in time,it may cause more anvils to scrap simultaneously,which will result in serious economic loss. Aiming at how todetect the crack in the anvil,a new method based on K-S test and the smoothed pseudo Wigner-Ville distribution is presented. A stheacoustic emission is accompanied when the brittle materials cracks,and combine the features that the burst acoustic emission signal belongs to the high frequency and high energy one,firstly,the crack signal of anvil is set to bethetemplate,and do interception by add windows on the collectedacoustic emission signal,and then match the signals intercepted by the double sample and same distribution Kolmogorov-Smirnov test. For the matched anvilcracksignal,analysisit by smooth pseudo Wigner distribution further,and determine whether the anvil is crack according to the spectrum information obtained.At last,the proposed method is verified by using the data under smooth and two burst acoustic emission states. The experiment results show that this method can accurately detect the cracks of the anvil,and can be used for online monitoring for the cracks of anvil.
引文
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[9]COHEN L,GALLEANI L,HEDGES R.Time-frequency analysis of a variable stiffness model for fault development[J].Digital Signal Processing,2002,12(2/3):429-440.
[2]李炜恒,王林生.声纹识别技术在金刚石压机顶锤防护中的应用[J].金刚石与磨料磨具工程,2013,3(33):71-74.(Li Wei-heng,Wang Lin-sheng.Voiceprint recognition technology in diamond anvil cell protection[J].Diamond&Abrasives Engineering,2013,3(33):71-74.)
[3]Meng De-wei,Farhad Ansari,Feng Xin.Detection and monitoring of surface micro-cracks by PPP-BOTDA[J].APPLIED OPTICS,2015,54(16):4972-4978.
[4]K.H.Hui,Lim Meng Hee,M.Salman Leong,Ahmed M.Abdelrhman.timefrequency signal analysis in machinery fault diagnosis:review[J].Advanced Materials Research,2014(845):41-45.
[5]席剑辉,林琳.声发射熵分析刀具磨损故障预测研究[J].机械设计与制造,2014(5):109-112.(Xi Jian-hui,Lin Lin.Fault prediction research of tool wear of entropy analysis of acoustic emission[J].Machinery Design&Manufacture,2014(5):109-112.)
[6]Heiple CR,Carpenter SH.Acoustic Emission[M].Mathiews JR,ed.New York:1981.
[7]Zwillinger D,Kokoska S.Standard Probability and Statistics Tables and Formulae[M].Boca Raton:Chapman and Hall/CRC,2000:341-343.
[8]王细洋,万在红.基于K-S检验的变载荷齿轮故障诊断[J].中国机械工程,2009,20(9):1048-1052.(Wang Xi-yang,Wan Zai-hong.Using Kolmogorov-Smirnov Test on Diagnosis of Gear Faults under Fluctuating Load Conditions[J].China Mechanical Engineering,2009,20(9):1048-1052.)
[9]COHEN L,GALLEANI L,HEDGES R.Time-frequency analysis of a variable stiffness model for fault development[J].Digital Signal Processing,2002,12(2/3):429-440.