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However, existing fault diagnosis methods of planetary gearboxes are hard to realize fault diagnosis using incomplete diagnostic information that simultaneously contains two categories of unknown attribute values.
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A fault diagnosis method of planetary gear based on the entropy feature fusion of ensemble empirical mode decomposition (EEMD) is proposed.
To overcome this issue, a fault diagnosis method of planetary gearboxes based on data-driven valued characteristic multigranulation model with incomplete diagnostic information is proposed.
A weak fault feature information extraction method of planetary gear based on Ensemble Empirical Mode Decomposition (EEMD) and Adaptive Stochastic Resonance (ASR) is proposed.
The size and construction of radar sounding antennas make the usual methods of meeting planetary protection requirements challenging.
By about 300 bce the temple scribes achieved a far more sophisticated method of predicting planetary behaviour on the basis of complex arithmetical theories.
The objective of this paper is to investigate the scale-up method of the planetary ball mill by the computational simulation based on Discrete Element Method.
Gibbs applied his vector methods to the determination of planetary and comet orbits.
And most of the traditional EA techniques cannot distinguish the fault-related modulation components from fault-unrelated modulation components, which may leads to a degradation of the fault diagnosis method for planetary gearbox.
The application of the methods of Euclidean geometry to planetary astronomy by the Greeks led to other schools of thought as well.
Finally, the proposed method is validated via analyses of planetary gearbox dataset collected in both lab experiments and a wind farm.
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