船舶推进轴系故障特征信息识取方法比较
|
摘要
为研究不同船舶推进轴系故障特征量提取方法的优缺点,针对船舶推进轴系故障振动信号的瞬态(脉冲)和周期性2个特点,介绍快速傅里叶变换(FFT)、EAF和EEAF3种周期故障特征信息识取方法,并在实船试验中就这3种方法的适用性、准确性和复杂程度等进行比较分析。结果表明:EEAF相比FFT和EAF,能快速、准确地提取船舶推进轴系周期性故障信息的特征频率及其振幅,具有良好的稳定性,可专门用于船舶推进轴系故障分析和诊断。
In order to study the advantages and disadvantages of different ship propulsion shafting fault feature extraction methods, three kinds of periodic fault feature information recognition methods, such as fast Fourier transform(FFT), EAF and EEAF are introduced, which based on transient(pulse) and periodicity of the ship's propulsion shafting fault vibration signal. In the actual ship test, the applicability, accuracy and complexity of the three methods are compared and analyzed. The result shows that compared with FFT and EAF, EEAF can quickly and accurately extract the characteristic frequency and amplitude of periodic fault information of ship propulsion shafting, which has good stability and can be specially used in the fault analysis and diagnosis of ship propulsion shafting.
In order to study the advantages and disadvantages of different ship propulsion shafting fault feature extraction methods, three kinds of periodic fault feature information recognition methods, such as fast Fourier transform(FFT), EAF and EEAF are introduced, which based on transient(pulse) and periodicity of the ship's propulsion shafting fault vibration signal. In the actual ship test, the applicability, accuracy and complexity of the three methods are compared and analyzed. The result shows that compared with FFT and EAF, EEAF can quickly and accurately extract the characteristic frequency and amplitude of periodic fault information of ship propulsion shafting, which has good stability and can be specially used in the fault analysis and diagnosis of ship propulsion shafting.
引文
[1]刘杨,李炎臻,石拓,等.转子-滑动轴承系统不对中-碰摩耦合故障分析[J].机械工程学报,2016,52(13):79-86.
[2]ZHANG W M,MENG G,CHEN D,et al.Nonlinear Dynamics of a Rub-Impact Micro-Rotor System with Scale-Dependent Friction Model[J].Journal of Sound&Vibration,2008,309(3):756-777.
[3]汪明,胡海刚,张刚,等.基于小波包Shannon熵与GA-SVM的船舶轴系故障诊断方法[J].宁波大学学报(理工版),2015(4):124-128.
[4]KESHTAN M N,KHAJAVI M N.Bearings Fault Diagnosis Using Vibrational Signal Analysis by EMDMethod[J].Research in Nondestructive Evaluation,2016,27(3):155-174.
[5]JAYASWAL P,VERMA S N,WADHWANI A K.Application of ANN,Fuzzy Logic and Wavelet Transform in Machine Fault Diagnosis Using Vibration Signal Analysis[J].Journal of Quality in Maintenance Engineering,2010,16(2):190-213.
[6]赵岩,朱均超,张宝峰,等.基于VMD与Hilbert谱的旋转机械碰摩故障诊断方法[J].振动.测试与诊断,2018,38(2):381-386,425.
[7]范虹.非平稳信号特征提取方法及其应用[M].北京:科学出版社,2013.
[8]张键.机械故障诊断技术[M].2版.北京:机械工业出版社,2014.
[2]ZHANG W M,MENG G,CHEN D,et al.Nonlinear Dynamics of a Rub-Impact Micro-Rotor System with Scale-Dependent Friction Model[J].Journal of Sound&Vibration,2008,309(3):756-777.
[3]汪明,胡海刚,张刚,等.基于小波包Shannon熵与GA-SVM的船舶轴系故障诊断方法[J].宁波大学学报(理工版),2015(4):124-128.
[4]KESHTAN M N,KHAJAVI M N.Bearings Fault Diagnosis Using Vibrational Signal Analysis by EMDMethod[J].Research in Nondestructive Evaluation,2016,27(3):155-174.
[5]JAYASWAL P,VERMA S N,WADHWANI A K.Application of ANN,Fuzzy Logic and Wavelet Transform in Machine Fault Diagnosis Using Vibration Signal Analysis[J].Journal of Quality in Maintenance Engineering,2010,16(2):190-213.
[6]赵岩,朱均超,张宝峰,等.基于VMD与Hilbert谱的旋转机械碰摩故障诊断方法[J].振动.测试与诊断,2018,38(2):381-386,425.
[7]范虹.非平稳信号特征提取方法及其应用[M].北京:科学出版社,2013.
[8]张键.机械故障诊断技术[M].2版.北京:机械工业出版社,2014.