Results 11 to 20 of about 115,986 (227)

Mechanical Compound Fault Analysis Method Based on Shift Invariant Dictionary Learning and Improved FastICA Algorithm

open access: yesMachines, 2021
For mechanical compound fault, it is of great significance to employ the vibration signal of a single-channel compound fault to analyze and realize the separation of multiple fault sources, which is essentially the problem of single-channel blind source ...
Haodong Yuan, Nailong Wu, Xinyuan Chen
doaj   +1 more source

Analysis of rotor winding interturn short circuits affected by the initial dynamic eccentricity in large synchronous condensers

open access: yesIET Electric Power Applications, 2022
To investigate the effect of initial dynamic eccentricity on the rotor winding turn‐to‐turn short circuit (RWISC) in a large synchronous condenser, this paper uses the study object of a 300 MVar dual water intercooler condenser. Firstly, the air gap flux
Minghan Ma   +5 more
doaj   +1 more source

A Deep Multi-Label Learning Framework for the Intelligent Fault Diagnosis of Machines

open access: yesIEEE Access, 2020
Deep learning has been applied in intelligent fault diagnosis of machines since it trains deep neural networks to simultaneously learn features and recognize faults.
Jianjun Shen   +4 more
doaj   +1 more source

How thick is a fault? Fault displacement-thickness scaling revisited [PDF]

open access: yes, 2006
No abstract ...
Bright, A.M.   +4 more
core   +1 more source

Deep Decoupling Convolutional Neural Network for Intelligent Compound Fault Diagnosis

open access: yesIEEE Access, 2019
Intelligent compound fault diagnosis of rotating machinery plays a crucial role for the security, high-efficiency, and reliability of modern manufacture machines, but identifying and decoupling the compound fault are still a great challenge.
Ruyi Huang   +3 more
doaj   +1 more source

Interatomic potentials for atomistic simulations of the Ti-Al system [PDF]

open access: yes, 2003
Semi-empirical interatomic potentials have been developed for Al, alpha-Ti, and gamma-TiAl within the embedded atomic method (EAM) by fitting to a large database of experimental as well as ab-initio data.
A. Girshick   +93 more
core   +1 more source

A New Method of Wheelset Bearing Fault Diagnosis

open access: yesEntropy, 2022
During the movement of rail trains, trains are often subjected to harsh operating conditions such as variable speed and heavy loads. It is therefore vital to find a solution for the issue of rolling bearing malfunction diagnostics in such circumstances ...
Runtao Sun   +3 more
doaj   +1 more source

Discovery (theoretical prediction and experimental observation) of a large-gap topological-insulator class with spin-polarized single-Dirac-cone on the surface [PDF]

open access: yes, 2009
Recent theories and experiments have suggested that strong spin-orbit coupling effects in certain band insulators can give rise to a new phase of quantum matter, the so-called topological insulator, which can show macroscopic entanglement effects.
A. Bansil   +37 more
core   +3 more sources

Compound Faults Feature Extraction for Rolling Bearings Based on Parallel Dual-Q-Factors and the Improved Maximum Correlated Kurtosis Deconvolution

open access: yesApplied Sciences, 2019
Vibration analysis is one of the main effective ways for rolling bearing fault diagnosis, and a challenge is how to accurately separate the inner and outer race fault features from noisy compound faults signals.
Lingli Cui   +4 more
doaj   +1 more source

Application of Deep Neural Network in Gearbox Compound Fault Diagnosis

open access: yesEnergies, 2023
Gearbox fault diagnosis is vital to ensure the efficient operation of rotating machinery, and most gearbox faults in industrial production occur in the form of compound faults. To realize the diagnosis of compound faults in gearboxes at different speeds,
Xiangfeng Zhang   +3 more
doaj   +1 more source

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