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   Articles with "iceemdan" as a keyword



A novel method based on the SCNGO‐ICEEMDAN and MCNN‐BiLSTM model for fault diagnosis of motor bearings for more electric aircraft

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recommendations! Published in 2024 at "IET Electric Power Applications"

DOI: 10.1049/elp2.12508

Abstract: The fault signal characteristics of motor rolling bearings for more electric aircraft are easily masked by strong background noise. Directly using machine learning, deep learning, or other methods results in a lower accuracy in fault… read more here.

Keywords: bearings electric; method based; electric aircraft; mcnn ... See more keywords

Extraction of the GPR instantaneous centroid frequency based on the envelope derivative operator and ICEEMDAN

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recommendations! Published in 2023 at "Remote Sensing Letters"

DOI: 10.1080/2150704x.2023.2215942

Abstract: ABSTRACT The instantaneous centroid frequency attribute describes how the main frequency changes with the ground-penetrating radar (GPR) signal propagating in the subsurface medium. In this letter, we present a new approach for extracting the instantaneous… read more here.

Keywords: instantaneous centroid; frequency; iceemdan; envelope derivative ... See more keywords

Wind Power Prediction Based on a Hybrid Model of ICEEMDAN and ModernTCN-Informer

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3599609

Abstract: Reliable and accurate wind power forecasting serves as one of the effective measures to enhance grid peak regulation capacity while improving the safety and stability of power systems. However, wind power generation exhibits strong randomness… read more here.

Keywords: wind power; prediction; model; iceemdan ... See more keywords

Free-form surface machining error compensation based on SSA-ICEEMDAN and blind source separation

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recommendations! Published in 2025 at "Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture"

DOI: 10.1177/09544054251395174

Abstract: To improve the CNC machining accuracy of free-form surface parts, a method of combining sparrow search algorithm-improved complete ensemble empirical mode decomposition with adaptive noise (SSA-ICEEMDAN) and blind source separation is proposed to reduce the… read more here.

Keywords: surface; form surface; free form; iceemdan ... See more keywords