A novel lubricating method of oil pump with self-adaptive adjustment function for transmission. [PDF]
Cao Y, Liu D, Zhang P, Zhou H, Zhao S.
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Intelligent diagnosis of gearbox in data heterogeneous environments based on federated supervised contrastive learning framework. [PDF]
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YConvFormer: A Lightweight and Robust Transformer for Gearbox Fault Diagnosis with Time-Frequency Fusion. [PDF]
Peng Y, Zhang J, Liu S, Zhang M, Guo Y.
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Fault Diagnosis Method of Planetary Gearboxes Based on Multi-Scale Wavelet Packet Energy Entropy and Extreme Learning Machine. [PDF]
Meng R, Zhang J, Chen M, Chen L.
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Multicriteria scheduling of two-subassembly products with batch availability and precedence constraints. [PDF]
Wen Z, Li S.
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Optimization of a Coupled Neuron Model Based on Deep Reinforcement Learning and Application of the Model in Bearing Fault Diagnosis. [PDF]
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Aerial video & trajectory dataset of vehicles on circular road. [PDF]
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Serious lower limb injuries following car gearbox explosion: A rare case report. [PDF]
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Cointegration Approach for Vibration-Based Misalignment Detection in Rotating Machinery Under Varying Load Conditions. [PDF]
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Gearbox Paradigm: A Support for Quick and Effective Gearbox Design
SAE Technical Paper Series, 2019<div class="section abstract"><div class="htmlview paragraph">The complexity of automotive market, the request of new gearbox layout able to improve the efficiency of a vehicle and the requirement of quick and effective design of gearboxes push the designers to seek new technologies, new layouts, new solutions.
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