Latest developments in gear defect diagnosis and prognosis: A review
Gears are an important component of industrial machinery and a breakdown of machinery
on account of the failure of gears could result in immense production loss. Timely monitoring …
on account of the failure of gears could result in immense production loss. Timely monitoring …
Gear fault diagnosis based on genetic mutation particle swarm optimization VMD and probabilistic neural network algorithm
J Ding, D **ao, X Li - Ieee Access, 2020 - ieeexplore.ieee.org
The decomposition number K and penalty factor α in the variational mode decomposition
(VMD) algorithm have a great influence on the decomposition effect and the accuracy of …
(VMD) algorithm have a great influence on the decomposition effect and the accuracy of …
Triboelectric sensor for planetary gear fault diagnosis using data enhancement and CNN
Z **e, Y Wang, M Yu, D Yu, J Lv, J Yin, J Liu, R Wu - Nano Energy, 2022 - Elsevier
The planetary gear transmission system is characterized by a complex structure and is often
exposed to harsh working conditions, resulting in high failure damage rate. The self …
exposed to harsh working conditions, resulting in high failure damage rate. The self …
Application of sparsity-oriented VMD for gearbox fault diagnosis based on built-in encoder information
Encoder signal as the built-in information is always used for the speed and motion control.
Meanwhile, it has remarkable superiority in the fault diagnosis of gearbox compared with the …
Meanwhile, it has remarkable superiority in the fault diagnosis of gearbox compared with the …
Diagnostics and prognostics of planetary gearbox using CWT, auto regression (AR) and K-means algorithm
Condition monitoring of machine is recognized as effective strategy for undertaking the
maintenance in wide variety of industries. Planetary gearbox is a critical component in …
maintenance in wide variety of industries. Planetary gearbox is a critical component in …
Cepstrum-assisted empirical wavelet transform (CEWT)-based improved demodulation analysis for fault diagnostics of planetary gearboxes
Demodulation analysis is a widely used approach for fault diagnostics of planetary
gearboxes by identifying the fault-induced modulation effect buried in noise with …
gearboxes by identifying the fault-induced modulation effect buried in noise with …
Fault tracing of gear systems: An in-situ measurement-based transfer path analysis method
A transfer path analysis method based on the in-situ measurement is proposed for the fault
tracing of parallel axis gear systems. A virtual decoupling technique is used to achieve the in …
tracing of parallel axis gear systems. A virtual decoupling technique is used to achieve the in …
Fatigue crack detection in planetary gears: Insights from the HUMS2023 data challenge
Employed extensively in industry, planetary gears offer a high power density and high
efficiency. However, their operation in frequently dynamic conditions does accelerate the …
efficiency. However, their operation in frequently dynamic conditions does accelerate the …
Planetary-gearbox fault classification by convolutional neural network and recurrence plot
Recurrence-plot (RP) analysis is a graphical tool to visualize and analyze the recurrence of
nonlinear dynamic systems. By combining the advantages of the RP and a convolutional …
nonlinear dynamic systems. By combining the advantages of the RP and a convolutional …
Vibration mechanism and improved phenomenological model of planetary gearbox with broken sun gear fault
Y Luo, L Cui, J Zhang, J Ma - Measurement, 2021 - Elsevier
Multiple vibration signal models for planetary gearboxes have been built, but details in the
signals are often ignored when verifying their correctness. The main reason is that the …
signals are often ignored when verifying their correctness. The main reason is that the …