Evaluating the freeze–thaw phenomenon in sandwich-structured composites via numerical simulations and infrared thermography [PDF]
, 2020 The water ingress phenomenon in sandwich-structured composites used in the aerospace/aeronautical sector is a current issue. This type of defect can cause in the course of time several other defects at the boundary, such as corrosions, deformations ...
Almeida, Ricardo M. S. F. +4 more
core +1 more source
Fault diagnosis of rotor using EMD thresholding-based de-noising combined with probabilistic neural network [PDF]
, 2017 De-noising of signal processing is crucial for fault diagnosis in order to successfully conduct feature extraction and is an efficient method for accurate determination of cause. In this paper, the empirical mode decomposition (EMD) thresholding-based de-
Dong Liu +4 more
core +3 more sources
Thermography data fusion and non-negative matrix factorization for the evaluation of cultural heritage objects and buildings [PDF]
, 2018 The application of the thermal and infrared technology in different areas of research is considerably increasing. These applications involve nondestructive testing, medical analysis (computer aid diagnosis/detection—CAD), and arts and archeology, among ...
Avdelidis, Nicolas P. +4 more
core +1 more source
Statistical Analysis of Delay in Time Series [PDF]
, 2023 This thesis focuses on delay in time series data. The first delay involves the m-delay autoregressive model. This approach considers only the first and the last previous observation of the traditional autoregressive model. Next, the delay is added to the
Ratchagit, Manlika
core
Multi-step carbon price forecasting based on a new quadratic decomposition ensemble learning approach [PDF]
, 2023 Numerous studies show that it is reasonable and effective to apply decomposition technology to deal with the complex carbon price series. However, the existing research ignores the residual term containing complex information after applying single ...
Tingting Zhang, Zhenpeng Tang
core +1 more source
Application of MEEMD in post‐processing of dimensionality reduction methods for face recognition
IET Biometrics, 2018 Dimensionality reduction techniques are powerful tools for face recognition, because they obtain important information from a dataset. Several dimensionality reduction methods proposed in literature have been improved thanks to pre‐processing approaches.
Abdelghafour Abbad +3 more
openaire +1 more source
DEK-Forecaster: A Novel Deep Learning Model Integrated with EMD-KNN for Traffic Prediction
, 2023 Internet traffic volume estimation has a significant impact on the business policies of the ISP (Internet Service Provider) industry and business successions.
Baral, Sudipto +2 more
core
Gaoya dianqi, 2020 断路器动作时,分合闸线圈电流特征能够反映断路器操动机构或者二次回路的运行状态,分析分合闸线圈电流特性,对断路器故障诊断具有重要意义。文中提出了基于改进集合模态分解（MEEMD）的分合闸线圈电流特征值提取方法。该方法使用MEEMD分解分合闸线圈电流信号,得到经验模态分量（IMF）,然后对分量求其瞬时频率,利用频率谱中峰值所对应坐标表征原始信号的特征值。实验结果表明,该方法能正确有效提取分合闸线圈电流特征值。
张佳, 陈志英, 陈丽安, 陈庆荣
doaj
, 2022 Abstract Aiming at the low prediction accuracy of precipitation time series data, proposes an Modified Ensemble Empirical Mode Decomposition-Prediction-Reconstruction Model（MDPRM）. First,The non-stationary precipitation time series is decomposed into multiple decomposition terms by MEEMD.
Yongtao Wang +4 more
openaire +1 more source
Implementierung einzelner Analysemethoden in eine Auswerte-Toolbox für experimentell gemessene Geschwindigkeitsfelder [PDF]
, 2019 Strömungsvorgänge in Fluiden spielen in Naturwissenschaft und Technik eine bedeutende Rolle. Um sie besser verstehen zu können, werden verschiedene Messverfahren eingesetzt und numerische Simulationen durchgeführt.
Seel, Fabio
core