Results 141 to 150 of about 968,782 (237)

Machine learning for fault analysis in rotating machinery: A comprehensive review. [PDF]

Heliyon, 2023
Das O, Bagci Das D, Birant D.
europepmc   +1 more source

Large‐Scale Determination of Frontier Orbital Energies of Disordered Small‐Molecule Organic Semiconductors Using Exciplex Emission Spectra

Advanced Materials, EarlyView.
ABSTRACT Accurately knowing the frontier orbital energies of the structurally disordered small‐molecule organic semiconductors that are used in optoelectronic devices such as organic light‐emitting diodes is required to rationally improve their performance. Here, we show that these energies can be deduced with a large accuracy from the peak energies of
Christian B. McDonald, Hiroki Tomita, Giacomo Cotelli, Louka L. Brüll, Nanno G. de Rooij, Lucas R.L. Norg, Milo Clément, Reinder Coehoorn   +7 more
wiley   +1 more source

Waveform-Prediction Augmentation and Deep Manifold Learning Enable Imbalanced Fault Diagnosis in Rotating Machinery. [PDF]

Sensors (Basel)
Tian Y, Guo S, Li Y, Zhang X, Jiang L.
europepmc   +1 more source

Method for Denoising the Vibration Signal of Rotating Machinery through VMD and MODWPT. [PDF]

Sensors (Basel), 2023
Zhou X, Wang X, Wang H, Xing Z, Yang Z, Cao L.   +5 more
europepmc   +1 more source

Breaking the Surface: Buoyant Metal–Polymer Open–Cell Hybrid Lattice Metamaterials

Advanced Materials, EarlyView.
Open‐cell metal–polymer lattice metamaterials that defy sinking. (a) Injection process of the polyurethane (PU) foam into the titanium (Ti‐6Al‐4V) hollow‐strut lattice creating the open‐cell Ti‐6Al‐4V+PU hybrid lattice, (b) flotation test of a hybrid lattice specimen, and (c) a digital representation and experimental validation of a marine buoy ...
Jordan Noronha, Joey Tallon, Raad Omar, Jason Dash, Andrey Molotnikov, Martin Leary, Milan Brandt, Ma Qian   +7 more
wiley   +1 more source

Magnetically Repulsive Cushion Triboelectric Nanogenerator for Rotating Machinery Structural Health Monitoring. [PDF]

Sensors (Basel)
Peng H, Wu Y, Li Y, He Y, Wang C, Na X, Tan Q, Qiu W, Yang X.   +8 more
europepmc   +1 more source

Research on Rotating Machinery Fault Diagnosis Based on an Improved Eulerian Video Motion Magnification. [PDF]

Sensors (Basel), 2023
Zhao H, Zhang X, Jiang D, Gu J.
europepmc   +1 more source

A literature review on machine learning-based predictive maintenance for rotating machinery

A LITERATURE REVIEW ON MACHINE LEARNING-BASED PREDICTIVE MAINTENANCE FOR ROTATING MACHINERY A literature review on machine learning-based predictive maintenance for rotating machinery ...
Mahadik, Manas, Mild, Andreas, Wirtschaftsuniversität Wien   +2 more
core   +1 more source

TESCLA: A Fully Soft Electromagnetic Linear Actuator With Continuous Bending Enabled by Liquid‐Metal Solenoids

Advanced Materials, EarlyView.
TESCLA (tubular electromagnetic soft conformal linear actuator) combines liquid‐metal solenoids and compliant magnetic composites to achieve large‐stroke bidirectional actuation with continuous bending. Integrated inductance‐based self‐sensing enables proprioceptive position estimation without external sensors, providing a versatile platform for soft ...
Yeongjin Choi, Jeongnam Kim, Seongjun Koh, Yong‐Lae Park   +3 more
wiley   +1 more source

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

Advanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh, Alif Syafiq Kamarol Zaman, Muzhen Xu, Yuki Usami, Saptarshi Das, Hirofumi Tanaka   +5 more
wiley   +1 more source