Results 111 to 120 of about 29,624 (262)
Rolling-Element Bearing Fault Diagnosis Using Improved LeNet-5 Network. [PDF]
Wan L, Chen Y, Li H, Li C.
europepmc +1 more source
Field‐programmed anisotropy imparts material‐level intelligence to soft composites. Magnetic torque dynamics drive magneto‐piezoelectric nanowires from random dispersion into deterministic axial alignment. The resulting hierarchical percolation networks confine electromechanical coupling to specific axes and intrinsically decouple superposed force ...
Yubin Kim +9 more
wiley +1 more source
Influence of the Curvature Radius on Contact Characteristic of Deep Groove Ball Bearing
The contact characteristics of deep groove ball bearing( DGBB) is one of the important factors that influence the DGBB property,for analyzing the influence of curvature radius on the contact characteristics of DGBB,taking the SKF618 /8 single row DGBB ...
Zhong Conghua
doaj
On the Accuracy of Fault Diagnosis for Rolling Element Bearings Using Improved DFA and Multi-Sensor Data Fusion Method. [PDF]
Song Q, Zhao S, Wang M.
europepmc +1 more source
Angstrom‐Scale Confined Ion Sieve and Accelerator for Efficient Aqueous Zinc Batteries
An angstrom‐scale confined ion accelerator strategy is proposed for ultra‐stable aqueous Zn anodes. Selective and precise transport of hydrated Zn(H2O)62+, Zn2+ cations, H2O molecules, and SO42− anions is achieved by in‐plane atomic Ti vacancies and angstrom‐scale interlayer free spacing within the Ti0.87O2 interfacial layer, leading to homogeneous Zn ...
Xing Peng +16 more
wiley +1 more source
Fault diagnosis method of rolling-element bearings via FBEWT and EIRVM. [PDF]
Zheng Q +5 more
europepmc +1 more source
Coupled materials design enables a monolithic fiber that integrates complementary sensing regimes into a single wearable strand. By preserving informative signal features across subtle physiological deformation, large body motion, and mixed mechanical inputs, the dual‐gradient architecture generates synchronized, less redundant outputs that improve ...
Yunheum Lee +13 more
wiley +1 more source
RUL Prediction Based on xLSTM-Transformer Neural Network for Rolling Element Bearings Under Different Working Conditions. [PDF]
Jiang R +5 more
europepmc +1 more source
This review examines passive, active, and hybrid liquid manipulation strategies, highlighting hybrid approaches as an emerging route to reconcile energy efficiency with adaptive control. By actively reconstructing passive surfaces to store programmable interfacial energy, hybrid systems enable flexible yet low‐power liquid transport, with perspectives ...
Jiaqi Miao +3 more
wiley +1 more source
Comparative analysis of deep learning algorithms for rolling element bearing fault classification under variable loads and speeds. [PDF]
Vishal P +4 more
europepmc +1 more source

