Gear Fault Diagnosis Based on EMD Decomposition and Levy-SSA-BP Neural Network by Xu Jingwen, Yang Ping, Yin Xiaojun

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Bearing Fault Diagnosis Based on Parameter Optimized VMD and ELM with Improved SSA by Yang Sen, Wang Hengdi, Cui Yongcun, Li Chang, Tang Yuanchao

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A Time–Frequency Composite Recurrence Plots-Based Series Arc Fault Detection Method for Photovoltaic Systems with Different Operating Conditions by Zhendong Yin, Hongxia Ouyang, Junchi Lu, Li Wang, Shanshui Yang

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Financial time series classification method based on low‐frequency approximate representation by Bing Liu, Huanhuan Cheng

Subjects: “…complete ensemble empirical mode decomposition with adaptive noise…”
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A Hybrid Dynamic Principal Component Analysis Feature Extraction Method to Identify Piston Pin Wear for Binary Classifier Modeling by Hao Yang, Yubin Zhai, Mengkun Zheng, Tan Wang, Dongliang Guo, Jianhui Liang, Xincheng Li, Xianliang Liu, Mingtao Jia, Rui Zhang

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Gear Fault Diagnosis Based on APIT-SA-MEMD and FLLE by Ji Haofei, Liu Huiling, Dong Jiaqiang

Subjects: “…Adaptive projection intrinsically transformation sine-assisted multivariate empirical mode decomposition…”
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Non-Stationary Extreme Runoff Prediction Model of Snowmelt Flood in Flood Season Based on VMD-NGO-LSTM and Its Application by ZHOU Xia, ZHOU Feng

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Study on displacement by integrating acceleration of vibration screening excitation platform based on EBKA-TVF-EMD by Chenggang Deng, Hongji Dong

Subjects: “…Time varying filtering based empirical mode decomposition…”
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RESEARCH ON ROLLING BEARING FAULT FEATURE EXTRACTION METHOD WITH SGMD-MOMEDA (MT) by CAO YaLei, DU YingJun, WEI Guang, DONG XinMin, GAO LiPeng, LIU YuXi

Subjects: “…Symplectic geometry mode decomposition…”
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Short-Term Photovoltaic Power Forecasting Based on the VMD-IDBO-DHKELM Model by Shengli Wang, Xiaolong Guo, Tianle Sun, Lihui Xu, Jinfeng Zhu, Zhicai Li, Jinjiang Zhang

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Research on Annual Runoff Prediction Based on EMD-LSTM-ANFIS Model by HU Shunqiang, CUI Dongwen

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Integrated Method of Future Capacity and RUL Prediction for Lithium‐Ion Batteries Based on CEEMD‐Transformer‐LSTM Model by Wangyang Hu, Chaolong Zhang, Laijin Luo, Shanhe Jiang

Subjects: “…complementary ensemble empirical mode decomposition…”
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Research on the Rapid Detection of Formaldehyde Emission From Wood-Based Panels Based on the AMSHKELM by Yinuo Wang, Huanqi Zheng, Hua Wang, Yucheng Zhou

Subjects: “…successive variational mode decomposition…”
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Introduction and application of a drive-by damage detection methodology for bridges using variational mode decomposition by Shahrooz Khalkhali Shandiz, Hamed Khezrzadeh, Saeed Eftekhar Azam

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Impact of Different Mode Decomposition Methods Combined with LSTM Models on Daily Runoff Forecasting by TAN Yongjie, WANG Xianxun, DUAN Mingxu, LIU Yaru, YAO Huaming

Subjects: “…complete ensemble empirical mode decomposition…”
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A novel hybrid methodology for wind speed and solar irradiance forecasting based on improved whale optimized regularized extreme learning machine by S. Syama, J. Ramprabhakar, R Anand, V. P. Meena, Josep M. Guerrero

Subjects: “…Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN)…”
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