Results 61 to 70 of about 34,434 (155)

Compound Fault Feature Extraction of Gearbox based on Improve Variational Mode Decomposition

open access: yesJixie chuandong, 2018
In the practical condition,the fault signal of gearbox often contain multiple fault information,but the weak fault signal belongs to weak signal compared with strong fault signal and noise,therefore,the extraction of weak fault signal in complex fault is
Chai Huili, Ye Meitao, Wang Zhijian
doaj  

Fast diagnosis of motor controller faults based on OCSSA-SVMD with CNN-BiLSTM [PDF]

open access: yesAIP Advances
In response to the problems of diverse fault types, difficult feature extraction, as well as the low accuracy and efficiency of traditional diagnostic methods for motor controllers under complex working conditions, this study proposes an intelligent ...
Changzhi Lv   +4 more
doaj   +1 more source

RMS/Rate Dynamics via Localized Modes

open access: yes, 2002
We consider some reduction from nonlinear Vlasov-Maxwell equation to rms/rate equations for second moments related quantities. Our analysis is based on variational wavelet approach to rational (in dynamical variables) approximation.
Antonina N. Fedorova   +3 more
core   +2 more sources

Bearing fault diagnosis method based on SAVMD and CNN

open access: yesJixie qiangdu
Non-stationary and nonlinear vibrating signals in rotating mechanical equipment are always disturbed by noises from working environment and other devices.
SONG ChunSheng   +4 more
doaj  

Typical electrode discharge acoustic signal denoising in oil based on improved VMD

open access: yesJournal of Measurement Science and Instrumentation
In order to suppress the white noise interference in partial discharge (PD) detection and accurately extract the characteristics of local discharge pulse acoustic signal of transformer under strong noise environment, the adaptive separation and denoising
CAO Panpan   +4 more
doaj  

Fault diagnosis of RV reducers based on sparrow search algorithm

open access: yesJixie chuandong
ObjectiveDue to its complex internal composition and numerous components, RV reducer is operated under complex working conditions with fluctuations in speed and direction, resulting in traditional spectral analysis being ineffective in diagnosing faults ...
YANG Ji   +3 more
doaj  

Photovoltaic Power Generation Forecasting Based on Secondary Data Decomposition and Hybrid Deep Learning Model

open access: yesEnergies
Accurate forecasting of photovoltaic (PV) power generation is crucial for optimizing grid operation and ensuring a reliable power supply. However, the inherent volatility and intermittency of solar energy pose significant challenges to grid stability and
Liwei Zhang   +5 more
doaj   +1 more source

A Novel Harmonic Detection Method for Microgrids Based on Variational Mode Decomposition and Improved Harris Hawks Optimization Algorithm

open access: yesIEEE Access
In the pursuit of enhancing harmonic detection precision within microgrids, this paper introduces a pioneering algorithm, VMD-DCHHO-HD, which amalgamates Variational Mode Decomposition (VMD) with an advanced Harris Hawk Optimization algorithm ...
Xinchen Wang   +5 more
doaj   +1 more source

Advances and applications of empirical mode decomposition and its variants in hydrology: A review

open access: yesGuan'gai paishui xuebao
Hydrological series are influenced by climate change, ecological succession, and human activities, containing complex, multi-layered, and interactive information that reflects highly non-linear and non-stationary characteristics.
CHEN Yunfei   +5 more
doaj   +1 more source

An optimized Impulse Factor-based VMD-EMD approach to improve SSVEP accuracy for BCI Systems

open access: yesResults in Engineering
The steady-state visual evoked potential (SSVEP) is a brain response to visual stimuli, flickering at the target frequency and its harmonics, in the occipital cortex. SSVEP-based detection methods use multichannel or single channel setups.
Adeel Wahab   +5 more
doaj   +1 more source

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