Results 221 to 230 of about 131,767 (349)

Intelligent fault diagnosis of rotating machinery based on improved hybrid dilated convolution network for unbalanced samples. [PDF]

Sci Rep
Zhang Q, Hao C, Wang Y, Zhang K, Yan H, Lv Z, Fan Q, Xu C, Xu L, Wen Z, Liu W.   +10 more
europepmc   +1 more source

Noise Eliminated Ensemble Empirical Mode Decomposition Scalogram Analysis for Rotating Machinery Fault Diagnosis. [PDF]

Sensors (Basel), 2021
Faysal A, Ngui WK, Lim MH, Leong MS.
europepmc   +1 more source

Predictive Maintenance of Machinery with Rotating Parts Using Convolutional Neural Networks [PDF]

Stamatis Apeiranthitis, Paraskevi Zacharia, Avraam Chatzopoulos, Michail Papoutsidakis   +3 more
openalex   +1 more source

Superionic Amorphous Li2ZrCl6 and Li2HfCl6

Advanced Materials, EarlyView.
Amorphous Li2HfCl6 and L2ZrCl6 are shown to be promising solid‐state electrolytes with predicted ionic conductivities >20 mS·cm−1. Molecular dynamics simulations with machine‐learning force fields reveal that anion vibrations and flexible MCl6 octahedra soften the Li coordination cage and enhance mobility. Correlation between Li‐ion diffusivity and the
Shukai Yao, De‐en Jiang
wiley   +1 more source

Cross-Domain Fault Diagnosis of Rotating Machinery Under Time-Varying Rotational Speed and Asymmetric Domain Label Condition. [PDF]

Sensors (Basel)
Liu S, Huang J, Han P, Fan Z, Ma J.
europepmc   +1 more source

A Weighted Subdomain Adaptation Network for Partial Transfer Fault Diagnosis of Rotating Machinery. [PDF]

Entropy (Basel), 2021
Jia S, Wang J, Zhang X, Han B.
europepmc   +1 more source

Rotating Machinery Library for Diagnosis [PDF]

Linköping Electronic Conference Proceedings, 2017
Tatsuro Ishibashi, Bing Han, Tadao Kawai
openaire   +1 more source

Episodic Training and Feature Orthogonality-Driven Domain Generalization for Rotating Machinery Fault Diagnosis Under Unseen Working Conditions [PDF]

Yixiao Liao, Songbin Zhou, Yisen Liu, Kunkun Pang, Jing Li, Chang Li, Lulu Zhao   +6 more
openalex   +1 more source

Scalable and Multifunctional PAN‐MXene Composite Fibers for Thermal Management, Photothermal Conversion, Energy Harvesting, and Sensing for Wearable Applications

Advanced Materials, EarlyView.
Electrospun PAN‐MXene nanofibers and yarns integrate enhanced thermal conductivity, photothermal conversion, and triboelectric energy harvesting within a flexible architecture. Interconnected MXene networks promote efficient phonon transport, while their surface chemistry strengthens tribo‐negative behavior, enabling a high power density of 432.7 mW m ...
Ahmadreza Moradi, Piotr K. Szewczyk, Urszula Stachewicz   +2 more
wiley   +1 more source

A Self-Attention Legendre Graph Convolution Network for Rotating Machinery Fault Diagnosis. [PDF]

Sensors (Basel)
Ma J, Huang J, Liu S, Luo J, Jing L.
europepmc   +1 more source