Multi-scale CNN for Multi-sensor Feature Fusion in Helical Gear Fault Detection Fault detection and diagnosis of helical gears under high speed and heavy load conditions are rarely researched comparing with spur gears under light load ... T Li,Z Zhao,C Sun,... - 《Procedia Manufacturing》 被...
The reason for the Porsche’s sprinting ability is a combination of its traction thanks to four-wheel drive and a monstrous amount of torque. While the McLaren and Ferrari might boast slightly higher power figures, the 918 completely dominates them with its torque. Although the others put out ...
The fusion of both 1D and 2D convolutional models can effectively improve the feature extraction capability of the network. Then, a gradient updating method based on the Kalman filter mechanism is designed. The effectiveness of the developed method is evaluated by using the benchmark datasets and ...
Tri-axial vibration information fusion model and its application to gear fault diagnosis in variable working conditions. Meas. Sci. Technol. 2019, 30, 095009. [Google Scholar] [CrossRef] Chen, H.; Jiang, B.; Ding, S.; Huang, B. Data-driven fault diagnosis for traction systems in high-...
Moslem realizes the fault diagnosis of the motor gearbox by multisensor fusion based on a two-dimensional convolution network and the current signal [22]. Although the fault diagnosis of gearboxes based on neural networks has achieved good results, with increased data complexity, neural networks ...
A novel convolutional neural network-based fault recognition method via image fusion of multi-vibration-signals. Comput. Ind. 2019, 105, 182–190. [CrossRef] 18. Zhou, Y.; Liu, X. An Online Damage Identification Approach for NC Machine Tools Based on Data Fusion Using Vibration Signals. J...
Prediction of ash fusion point based on partial least squares regression. J. Power Eng. 2010, 30, 788–792. 23. Zhang, Y.; Yin, Y.; Wang, X. Model for predicting ash melting point of coal ash composition. Sized Nitrogenous Fertil. Prog. 2012, 6, 10–12. 24. Li, J.; Shen, B...