Results 231 to 240 of about 60,233 (294)
Acoustics-Augmented Diagnosis Method for Rolling Bearings Based on Acoustic-Vibration Fusion and Knowledge Transfer. [PDF]
Xue F, Liu C, He F, Bai Z.
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In-Wheel Motor Fault Diagnosis Method Based on Two-Stream 2DCNNs with DCBA Module. [PDF]
Zhu J +6 more
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Dynamic MAML with Efficient Multi-Scale Attention for Cross-Load Few-Shot Bearing Fault Diagnosis. [PDF]
Zhang Q, Zhang Y, Qin J, Duan J, Zhou Y.
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A compound fault diagnosis model for gearboxes using correlation information between single faults
Measurement Science and Technology, 2023Abstract Gearboxes are key components of rotating machinery. Performing intelligent fault diagnosis of gearboxes with condition-based monitoring information helps to make reliable decisions on equipment operation and maintenance. Besides single faults, compound faults also are common failure forms of gearboxes.
Ming Zeng +3 more
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A COMPOUNDING ALGORITHM FOR 1-FAULT TOLERANT BROADCAST NETWORKS [PDF]
This theoretical paper presents a new construction algorithm for sparse 1-fault tolerant minimal broadcast networks (1-FTMBNs). To construct a large 1-FTMBN with the algorithm, identical nodes in copies of a broadcast network that is not fault tolerant are connected according to the edge structures of two known 1-FTMBNs with a special property.
BRIAN Q. RIEKSTS, JOSÉ A. VENTURA
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Zero-shot learning compound fault diagnosis of bearings
2021 International Joint Conference on Neural Networks (IJCNN), 2021The compound fault signal of bearings is coupled and complex, thereby compound fault diagnosis is a difficult problem in bearing fault diagnosis. The existing deep learning models can extract fault features when there are a large number of labeled compound fault samples.
Juan Xu +4 more
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Compound Rotorcraft Yaw Control Fault Detection
Proceedings of the Vertical Flight Society 76th Annual Forum, 2020Emerging vertical flight concepts being proffered for solutions to the Future Vertical Lift (FVL) mission set such as compound high speed rotorcraft can be designed with multiple, coupled control effectors thus creating redundant systems in one or two more axes to generate control forces and moments which allow for a range of trim states.
Jeffrey Lewis +2 more
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Zero-shot learning for compound fault diagnosis of bearings
Expert Systems with Applications, 2022Abstract Due to the concurrency and coupling of various types of faults, and the number of possible fault modes grows exponentially, thereby compound fault diagnosis is a difficult problem in bearing fault diagnosis. The existing deep learning models can extract fault features when there are a large number of labeled compound fault samples.
Juan Xu +5 more
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Structure and polytypic faults in Ba4NdMn3O12 compound
Journal of Materials Science, 2008We have studied the structure and polytypic defect formation in the 12R perovskite-type Ba4NdMn3O12 compound. Its structure was characterized using transmission electron microscopy (TEM). Like in the 12R ordered oxides of Ba4CeMn3O12 and Ba4PrMn3O12 (Fuentes et al., J. Solid State Chem.
H. Yang +6 more
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Stacking-fault energy of II–VI compounds
Philosophical Magazine A, 1985Abstract Stacking-fault energies on the {111} plane in ZnTe (zinc blende structure) and on the (0001) plane in ZnO (wurtzite structure) have been estimated to be 16 ± 4 and greater than 43 mJ m−2, respectively, by weak-beam electron microscopy of dislocations. The stacking-fault energies of the above crystals and previously obtained ones of other II-VI
S. Takeuchi +3 more
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