Results 61 to 70 of about 34,434 (155)
Compound Fault Feature Extraction of Gearbox based on Improve Variational Mode Decomposition
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]
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
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RMS/Rate Dynamics via Localized Modes
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
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Bearing fault diagnosis method based on SAVMD and CNN
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
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Typical electrode discharge acoustic signal denoising in oil based on improved VMD
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
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
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
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
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
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

