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Purpose <p>To solve the challenges of insufficient fault data and difficult field data acquisition in equipment fault diagnosis, generating missing fault data by simulation to supplement the training samples for intelligent fault diagnosis has become a mainstream method. Through numerical simulation, by introducing the crack fault stiffness into the dynamic equations, fast acquisition of missing fault signals can be realized to supplement the insufficient fault signals in the source area of fault diagnosis work.</p> Methods <p>The centralised parameter method is used to establish the planetary gear dynamics equation under 18 degrees of freedom. The time-varying mesh stiffness model under the cracked stiffness of the fault indexing circle is established by the improved potential energy method, and the calculated fault stiffness is introduced into the dynamics equation to obtain the fault signal.</p> Results <p>The settling produced a vibration signal of the faulty tooth, which was compared with the experimental signal for feature analysis, fully verifying the accuracy of the established stiffness and dynamic model.</p> Conclusion <p>The process of calculating the fault signal by numerical simulation is more convenient and faster. Through comparative analysis with the experimental signal, in the time domain, there are periodic fluctuations due to disturbance factors; in the frequency domain, the dominant factors are the mesh frequency and its multiples, which are highly consistent with the experimental signal. At the same time, the calculation has obtained the eigenvalues of various features of the simulated signal and the experimental signal, which are highly consistent in terms of numerical magnitude and change trend, verifying the correctness of the established model.</p>

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A Novel Construction Method of Planetary Gear Dynamics Model Under Indexing Circle Crack Failure

  • 期刊论文

  • 发表日期：

    2025年4月1日

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  • Baokun Han,
  • Haodong Li,
  • Zongzhen Zhang,
  • Lingtao Song,
  • Jinrui Wang,
  • Xingwang Lv,
  • Jie Wang

摘要

Purpose

To solve the challenges of insufficient fault data and difficult field data acquisition in equipment fault diagnosis, generating missing fault data by simulation to supplement the training samples for intelligent fault diagnosis has become a mainstream method. Through numerical simulation, by introducing the crack fault stiffness into the dynamic equations, fast acquisition of missing fault signals can be realized to supplement the insufficient fault signals in the source area of fault diagnosis work.

Methods

The centralised parameter method is used to establish the planetary gear dynamics equation under 18 degrees of freedom. The time-varying mesh stiffness model under the cracked stiffness of the fault indexing circle is established by the improved potential energy method, and the calculated fault stiffness is introduced into the dynamics equation to obtain the fault signal.

Results

The settling produced a vibration signal of the faulty tooth, which was compared with the experimental signal for feature analysis, fully verifying the accuracy of the established stiffness and dynamic model.

Conclusion

The process of calculating the fault signal by numerical simulation is more convenient and faster. Through comparative analysis with the experimental signal, in the time domain, there are periodic fluctuations due to disturbance factors; in the frequency domain, the dominant factors are the mesh frequency and its multiples, which are highly consistent with the experimental signal. At the same time, the calculation has obtained the eigenvalues of various features of the simulated signal and the experimental signal, which are highly consistent in terms of numerical magnitude and change trend, verifying the correctness of the established model.