Results 31 to 40 of about 245 (131)
Feature fusion based fault diagnosis of hoist inverter
Gong-kuang zidonghua, 2021 The difficulty in fault diagnosis of mine hoist inverters lies in extracting the features that characterize faults. At present, signal processing methods are mainly used to obtain fault statistical features, or the fault depth features are extracted by ...
WU Chuanlong1,2,3 +5 more
doaj +1 more source
IEEE Access, 2020 A remaining useful life (RUL) prediction method for an external gear pump is proposed by Bayesian regularized radial basis function neural network (Trainbr-RBFNN).
Rui Guo +4 more
doaj +1 more source
Thermographic Imaging in Cultural Heritage: A Short Review [PDF]
, 2022 Over the recent period, there has been an increasing interest in the use of pulsed infrared thermography (PT) for the non-destructive evaluation of Cultural Heritage (CH).
Dritsa V. +5 more
core +1 more source
Short-Term Load Forecasting in Active Distribution Networks Using Forgetting Factor Adaptive Extended Kalman Filter [PDF]
, 2023 The intermittent non-dispatchable power produced by Renewable Energy Sources (RESs) in distribution networks caused additional challenges in load forecasting due to the introduced uncertainties.
Elmenshawy, Mena S., Massoud, Ahmed M.
core +2 more sources
An Improved Bees Algorithm for Training Deep Recurrent Networks for Sentiment Classification [PDF]
, 2021 Recurrent neural networks (RNNs) are powerful tools for learning information from temporal sequences. Designing an optimum deep RNN is difficult due to configuration and training issues, such as vanishing and exploding gradients. In this paper, a novel
Koç, Ebubekir +3 more
core +2 more sources
Simulative Selection of an Adaptive Real-Time Source Separation Algorithm for EIT [PDF]
, 2023 Elektrická impedanční tomografie (EIT) je levná a neinvazivní zobrazovací metoda, která se široce používá k průběžnému monitorování umělé plicní ventilace na lůžku.
Lukáš Daněk
core
Shock and Vibration, 2020 By analyzing nonlinear and nonstationary vibration signals from the spindle device of the mine hoist, it is a challenge to overcome the difficulty of fault feature extraction and accurately identify the fault of rotor-bearing system.
Jun Gu +4 more
doaj +1 more source
Prediction of sediment concentration based on the MEEMD-ARIMA model in the lower Yellow River [PDF]
Journal of Water and Climate Change, 2019 Abstract There are many factors influencing the evolution of sediment concentration, and it is difficult to determine and extract, which brings great difficulties to the high-precision prediction of sediment concentration. Accurate prediction of annual sediment concentration in the lower Yellow River can provide a theoretical basis for ...
Xianqi Zhang +3 more
openaire +1 more source
Research on Dynamic Test of Hyper-Velocity Impact Penetration Acceleration Signal
IEEE Access, 2020 In recent years, with the development of hyper-velocity weapon, the research focus of penetration effect has switched gradually from high-velocity to hyper-velocity, with insufficient studies on penetration effect and its internal mechanism. Besides, the
Debiao Zhang +6 more
doaj +1 more source
Multi-label classification algorithms for composite materials under infrared thermography testing [PDF]
, 2022 The key idea in this paper is to propose multi-labels classification algorithms to handle benchmark thermal datasets that are practically associated with different data characteristics and have only one health condition (damaged composite materials).
Alhammad, Muflih +6 more
core +1 more source