Results 151 to 160 of about 908,506 (299)

Improved Variational Mode Decomposition and CNN for Intelligent Rotating Machinery Fault Diagnosis. [PDF]

Entropy (Basel), 2022
Xiao Q, Li S, Zhou L, Shi W.
europepmc   +1 more source

Field‐Programmed Anisotropy in Magneto‐Piezoelectric Composites for Material‐Encoded Mechanoperception

Advanced Materials, EarlyView.
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, Yumin Kwon, Dabin Kim, Minsun Oh, Jin Young Jung, Dongyeong Gim, Kootak Hong, Jun Yeon Hwang, Sang‐Woo Kim, Minjeong Ha   +9 more
wiley   +1 more source

A fault diagnosis method for rotating machinery components based on enhanced YOLO v8 and integrated attention mechanism. [PDF]

PLoS One
Wang X, Yuan L, Ma L, Liu J.
europepmc   +1 more source

Multi-Filter Clustering Fusion for Feature Selection in Rotating Machinery Fault Classification. [PDF]

Sensors (Basel), 2022
Mochammad S, Noh Y, Kang YJ, Park S, Lee J, Chin S.   +5 more
europepmc   +1 more source

Decoupling Photochemical and Photothermal Effects Using Molecular Motors Enables Fast, Intelligent, and Life‐Like Motions in Soft Materials

Advanced Materials, EarlyView.
A light‐responsive liquid crystal (LC) polymer network integrating molecular rotary motors and photothermal converters enables the decoupling of photochemical and photothermal effects. Selective wavelength activation allows orthogonal control over persistent shape encoding and fast reversible motion, enabling programmable soft robots capable of complex
Guiying Long, Jinyu Sheng, Alexander Ryabchun, Ben L. Feringa   +3 more
wiley   +1 more source

Unsupervised Acoustic Anomaly Detection for Rotating Machinery Under Submarine-like Environments: Considering Data Scarcity and Background Noise via Proxy Data Generation. [PDF]

Sensors (Basel)
Kim KS, Lee JH.
europepmc   +1 more source

An Improved MobileNet Network with Wavelet Energy and Global Average Pooling for Rotating Machinery Fault Diagnosis. [PDF]

Sensors (Basel), 2022
Zhu F, Liu C, Yang J, Wang S.
europepmc   +1 more source

Optoelectronic Nanofluidic Neural Networks for Ionic Computing

Advanced Materials, EarlyView.
An ion‐based optoelectronic nanofluidic memristor enables neuromorphic computing in aqueous environments. With tunable ionic memory and multimodal synaptic plasticity, it realizes densely connected ionic neural networks capable of image classification, motion prediction, logic computation, and real‐time in‐sensor computing, advancing fully connected ...
Yaxin Huang, Zhiyuan Du, Changjin Wu, Binglin Zeng, Yingnan Cao, Mingliang Li, Liren Zhang, Qingxin Guo, Chao Huang, Can Li, Jinyao Tang   +10 more
wiley   +1 more source

Fault Diagnosis of Rotating Machinery Using Supervised Machine Learning Algorithms with Integrated Data-Driven and Physics-Informed Feature Sets. [PDF]

Sensors (Basel)
Ignjatovska AA, Petreski Z, Gavriloski V, Shishkovski D, Domazetovska Markovska S, Anachkova M, Pecioski D.   +6 more
europepmc   +1 more source

Rotating machinery fault diagnosis based on a novel lightweight convolutional neural network. [PDF]

PLoS One, 2021
Yan J, Liu T, Ye X, Jing Q, Dai Y.
europepmc   +1 more source