Tacho-less Order Tracking for Gearbox based on Time-varying Filter and CWT

Shuangxi Jing; Zhipeng Luo; Junfa Leng; Zhiyang Wang

doi:10.16578/j.issn.1004.2539.2019.06.026

您当前的位置：

首页 >

文章列表页 >

Tacho-less Order Tracking for Gearbox based on Time-varying Filter and CWT

Development·Application | 更新时间：2022-10-01

- Tacho-less Order Tracking for Gearbox based on Time-varying Filter and CWT
- Journal of Mechanical Transmission Vol. 43, Issue 6, Pages: 144-149(2019)
- 作者机构：
  
  1.河南理工大学机械与动力工程学院，河南焦作 454000
- 作者简介：
- 基金信息：
- DOI：10.16578/j.issn.1004.2539.2019.06.026
  CLC：
扫描看全文
荆双喜,罗志鹏,冷军发等.基于时变滤波与CWT的齿轮箱无转速计阶次跟踪[J].机械传动,2019,43(06):144-149.

Jing Shuangxi,Luo Zhipeng,Leng Junfa,et al.Tacho-less Order Tracking for Gearbox based on Time-varying Filter and CWT[J].Journal of Mechanical Transmission,2019,43(06):144-149.
荆双喜,罗志鹏,冷军发等.基于时变滤波与CWT的齿轮箱无转速计阶次跟踪[J].机械传动,2019,43(06):144-149. DOI： 10.16578/j.issn.1004.2539.2019.06.026.

Jing Shuangxi,Luo Zhipeng,Leng Junfa,et al.Tacho-less Order Tracking for Gearbox based on Time-varying Filter and CWT[J].Journal of Mechanical Transmission,2019,43(06):144-149. DOI： 10.16578/j.issn.1004.2539.2019.06.026.

摘要

针对转频波动工况下复杂齿轮箱系统振动信号中各啮合阶次成分相互干扰，导致对啮合频率估计困难的情况，提出一种基于时变滤波与连续小波变换（CWT）结合的无转速计阶次跟踪齿轮箱故障诊断技术。基于短时傅里叶变换（STFT）设置时变滤波器；通过时变滤波及连续小波变换（CWT），获得平滑的瞬时频率估计（IFE）；再基于Vold-Kalman滤波（VKF）获得参考轴相位。该方法获得的阶次谱与计算阶次跟踪（COT）相当。最后，结合快速谱峭度算法可准确判断故障齿轮位置。通过仿真和实验表明，无转速计方法能为强噪声转速明显波动工况下的机械故障诊断提供一种新的有效手段。

Abstract

In the fault diagnosis of complex gearbox system under the rotation frequency fluctuation，the orders of meshing frequency interfere with one another，so it is difficult to estimate gear meshing frequency. For this problem，a tacho-less order tracking technique combining with time-varying filter and continuous wavelet transform（CWT） is proposed. Time varying filter is set based on short-time Fourier transform（STFT）. The smooth instantaneous frequency estimation（IFE） is obtained based on time-varying filter and CWT. The phase of the reference shaft is calculated with Vold-Kalman filter（VKF）. The order spectrum obtained by the proposed method is basically consistent of the computed order tracking（COT）. Lastly，the position of fault gear can be accurately judged by Fast-kurtogram algorithm. The results of simulation and experiment show that the proposed method can provide a new effective method for mechanical fault diagnosis under the condition of strong noise and apparent speed variation.

关键词

时变滤波短时傅里叶变换连续小波变换Vold-Kalman滤波快速谱峭度

Keywords

Time-varying filterShort-time Fourier transformContinuous wavelet transformVold-Kalman filterFast kurtogram

references

杨志坚，丁康，梁茜. 基于频谱校正理论的阶比跟踪分析［J］. 机械工程学报， 2009， 45（12）：41-45.

ANTONI J， BONNARDOT F， RAAD A， et al. Cyclostationary modelling of rotating machine vibration signals［J］. Mechanical Systems and Signal Processing， 2004， 18（6）：1285-1314.

HE G， DING K， LI W， et al. A novel order tracking method for wind turbine planetary gearbox vibration analysis based on discrete spectrum correction technique［J］. Renewable Energy， 2016， 87：364-375.

彭富强，于德介，武春燕. 基于自适应时变滤波阶比跟踪的齿轮箱故障诊断［J］. 机械工程学报， 2012， 48（7）：77-85.

HUANG H， BADDOUR N， LIANG M. Bearing fault diagnosis under unknown time-varying rotational speed conditions via multiple time-frequency curve extraction［J］. Journal of Sound and Vibration， 2018， 414：43-60.

ZHAO M， LIN J， WANG X， et al. A tacho-less order tracking technique for large speed variations［J］. Mechanical Systems and Signal Processing， 2013， 40（1）：76-90.

SCHMIDT S， HEYNS P S， VILLIERS J P D. A tacholess order tracking methodology based on a probabilistic approach to incorporate angular acceleration information into the maxima tracking process［J］. Mechanical Systems and Signal Processing， 2018， 100：630-646.

周利清.信号处理引论［M］. 北京：电子工业出版社， 2005：197-242.

JENA D P， PANIGRAHI S N. Precise measurement of defect width in tapered roller bearing using vibration signal［J］. Measurement， 2014， 55（3）：39-50.

BI F， LI L， ZHANG J， et al. Source identification of gasoline engine noise based on continuous wavelet transform and EEMD-RobustICA［J］. Applied Acoustics， 2015， 100：34-42.

CHARDRA N H， SEKHAR A S. Fault detection in rotor bearing systems using time frequency techniques［J］. Mechanical Systems and Signal Processing， 2016， 72/73：105-133.

MOOSAVIAN A， NAJAFI G， GHOBADIAN B， et al. Piston scuffing fault and its identification in an IC engine by vibration analysis［J］. Applied Acoustics， 2016， 102：40-48.

VOLD H， MAINS M， BLOUGH J. Theoretical foundations for high performance order tracking with the Vold-Kalman tracking filter［R］. SAE Technical Paper， 1997：1083-1088.

TUMA J. Setting the passband width in the Vold-Kalman order tracking filter［C］. Twelfth International Conference on Sound and Vibration （ICSV12）， July 11-14， 2005， Lisbon， Portugal.［S.l.］： IIAV， c2005：11-14.

ANTONI. Fast computation of the kurtogram for the detection of transient faults［J］. Mechanical Systems and Signal Processing， 2007， 21（1）：108-124.

LI Y ， DING K ， HE G ， et al. Vibration mechanisms of spur gear pair in healthy and fault states［J］. Mechanical Systems and Signal Processing， 2016， 81：183-201.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Fault Diagnosis of Small Sample Automobile Planetary Gearboxes Based on Continuous Wavelet Transform and Model Agnostic Meta Learning

Fault Diagnosis Method of Planetary Gearbox based on Wavelet Time-frequency Diagram and Convolutional Neural Network

Research of Fault Diagnosis of Rolling Bearing based on MSCNN and STFT

Related Author

No data

Related Institution

School of Aviation and Transportation， Jiangsu College of Engineering and Technology

Jiangsu Intelligent Networked Vehicle Engineering Technology Research and Development Center

School of Power and Mechanical Engineering，Wuhan University

College of Electrical Engineering，Xinjiang University

Shijiazhuang Haishan Industrial Develoment Corporation

⁰