Crack Level Estimation Approach for Planetary Gear Sets Based on Simulation Signal and GRA

Cheng, Zhe; Hu, Niaoqing; Zuo, Ming J.; Fan, Bin

doi:10.1088/1742-6596/364/1/012076

Cited by 7 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Subsequently, more novel SR theories have emerged. McNamara et al [16,17] proposed adiabatic approximation theory based on transition probability. Due to the limitations of small parameters in the adiabatic approximation theory, Dykman et al [18] proposed the linear response theory to characterize SR more comprehensively.…”

Section: Introductionmentioning

confidence: 99%

Research and application of stochastic resonance in quad-stable potential system

He¹,

Liu²,

Zhang³

2022

Chinese Phys. B

View full text Add to dashboard Cite

To solve the problem of low weak signal enhancement performance in the quad-stable system, a new Quad-stable potential Stochastic Resonance (QSR) is proposed. Firstly, under the condition of adiabatic approximation theory, the Stationary Probability Distribution (SPD), the Mean First Passage Time (MFPT), the Work (W) and the power Spectrum Amplification Factor (SAF) are derived, and the impacts of system parameters on them are also deeply analyzed. Secondly, numerical simulations are performed to compare QSR with the Classical Tri-stable Stochastic Resonance (CTSR) by using the Genetic Algorithm (GA) and the fourth-order Runge-Kutta algorithm. It shows that the Signal-to-Noise Ratio (SNR) and Mean Signal-to-Noise Increase (MSNRI) of QSR are higher than CTSR, which indicates that QSR has superior noise immunity than CTSR. Finally, the two systems are applied in the detection on real bearing faults. The experimental results show that QSR is superior to CTSR, which provides a better theoretical significance and reference value for practical engineering application.

show abstract

Section: Introductionmentioning

confidence: 99%

Research and application of stochastic resonance in quad-stable potential system

He¹,

Liu²,

Zhang³

2022

Chinese Phys. B

View full text Add to dashboard Cite

show abstract

“…Sidebands were found to be induced because of amplitude modulation. Cheng et al [13,14] estimated the degree of gear pitting and cracking by comparing the dynamic response of a fault system with a health system. A model containing tooth spalling and cracking was developed by Jia and Howard [15].…”

Section: Introductionmentioning

confidence: 99%

Detection and Localization of Tooth Breakage Fault on Wind Turbine Planetary Gear System considering Gear Manufacturing Errors

Gui

Han

et al. 2014

Shock and Vibration

View full text Add to dashboard Cite

Sidebands of vibration spectrum are sensitive to the fault degree and have been proved to be useful for tooth fault detection and localization. However, the amplitude and frequency modulation due to manufacturing errors (which are inevitable in actual planetary gear system) lead to much more complex sidebands. Thus, in the paper, a lumped parameter model for a typical planetary gear system with various types of errors is established. In the model, the influences of tooth faults on time-varying mesh stiffness and tooth impact force are derived analytically. Numerical methods are then utilized to obtain the response spectra of the system with tooth faults with and without errors. Three system components (including sun, planet, and ring gears) with tooth faults are considered in the discussion, respectively. Through detailed comparisons of spectral sidebands, fault characteristic frequencies of the system are acquired. Dynamic experiments on a planetary gear-box test rig are carried out to verify the simulation results and these results are of great significances for the detection and localization of tooth faults in wind turbines.

show abstract

Dynamic modeling and analysis of multistage planetary gear system considering tooth crack fault

Liu

Xiang

et al. 2022

Engineering Failure Analysis

View full text Add to dashboard Cite

Crack Level Estimation Approach for Planetary Gear Sets Based on Simulation Signal and GRA

Cited by 7 publications

References 9 publications

Research and application of stochastic resonance in quad-stable potential system

Research and application of stochastic resonance in quad-stable potential system

Detection and Localization of Tooth Breakage Fault on Wind Turbine Planetary Gear System considering Gear Manufacturing Errors

Dynamic modeling and analysis of multistage planetary gear system considering tooth crack fault

Contact Info

Product

Resources

About