Results 21 to 30 of about 215,660 (296)
Advances in Mechanical Engineering, 2019 Based on improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) algorithm and kernel online sequential extreme learning machine (KOSELM) algorithm, a new hybrid short-term traffic flow prediction model (ICEEMDAN-KOSELM ...
Xiujuan Tian +4 more
doaj +1 more source
Very Short-Term Wind Direction Multistep Forecast Based on VMD-LSTM
南方能源建设, 2023 [Introduction] In order to accurately forecast the wind direction in the next 4 hours, a very short-term wind direction multistep forecast algorithm based on VMD-LSTM（Variational Mode Decomposition-Long Short-Term Memory） is proposed.
Xiuhao LI +5 more
doaj +1 more source
The Use of Transmission Line Modelling to Test the Effectiveness of I-kaz as Autonomous Selection of Intrinsic Mode Function [PDF]
, 2017 Pressure transient signal occurred due to sudden changes in fluid propagation filled in pipelines system, which is caused by rapid pressure and flow fluctuation in a system, such as closing and opening valve rapidly.
M. F., Ghazali +5 more
core +1 more source
Health status identification of catenary based on VMD and FA-ELM
Journal of Algorithms & Computational Technology, 2021 Catenary works as a key part in the electric railway traction power supply system, which is exposed outdoors for a long time and the failure rate is very high. Once a failure occurs, it will directly affect the driving safety. Based on the above, a model
Lingzhi Yi +5 more
doaj +1 more source
Based On Intrinsic Mode Function Energy Tracking Method of Circuit Breaker Vibration Signal Feature Extraction Studies [PDF]
, 2017 In order to detect a mechanical type of structural failure of the circuit breaker, the characteristics of the circuit breaker mechanical vibration signal is analyzed in this paper.
Yi-Hang Sun, Sun Yi-Hang
core +1 more source
Advances in Mechanical Engineering, 2016 The application of the multi-scale intrinsic mode function permutation entropy and extreme learning machine classifiers in railway rolling bearing fault diagnosis is here proposed in this article.
Dechen Yao +3 more
doaj +1 more source
Load distribution fault diagnosis method of synchronous condenser based on VMD-MSVM
电力工程技术, 2022 Due to the large-scale construction of ultra high voltage direct current (UHVDC) transmission projects, the demand for reactive power regulation at the receiving end of UHVDC is increasing day by day, so the synchronous condensers is applied in the power
ZHANG Yuliang +2 more
doaj +1 more source
Instantaneous Respiratory Estimation from Thoracic Impedance by Empirical Mode Decomposition
Sensors, 2015 Impedance plethysmography provides a way to measure respiratory activity by sensing the change of thoracic impedance caused by inspiration and expiration.
Fu-Tai Wang +4 more
doaj +1 more source
Forecasting, 2022 Because of the non-linearity inherent in energy commodity prices, traditional mono-scale smoothing methodologies cannot accommodate their unique properties.
Emmanuel Senyo Fianu
doaj +1 more source
Detection of relevant information in intrinsic mode functions
Visión electrónica, 2020 The empirical mode decomposition (EMD) decomposes a local and adaptive time series into a finite set of intrinsic mode functions (IMF), AM-FM signals that allow to represent a non-linear and non-stationary model with the advantage of not losing the underlying meaning.
Roberto Sebastián Hernández Santander +1 more
openaire +3 more sources