CEEMDAN-Based Permutation Entropy: A Suitable Feature for the Fault Identification of Spiral-Bevel Gears by Lingli Jiang, Hongchuang Tan, Xuejun Li, Liman Chen, Dalian Yang

“…The vibration signals of spiral-bevel gears are typically quite complicated, as they present both nonlinear and nonstationary characteristics and are interfered with by strong noise. The complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) method has been proven to be an effective method for analyzing this kind of signal. …”
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Research on the rapid diagnosis method for hunting of high-speed trains by Wanru Xie, Yixin Zhao, Gang Zhao, Fei Yang, Zilong Wei, Jinzhao Liu

“…Design/methodology/approach – First, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) is performed to determine the first characteristic component of the car body’s lateral acceleration. …”
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The interplay between firms’ capabilities and ownership in explaining environmental performance by Beatriz Forés, César Camisón-Zornoza, José María Fernández-Yáñez

“…研究設計/方法/理念 – 研究人員使用基於改良完全集合經驗模態分解自適應噪聲(Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise)的聚類分析法,取得Rényi有效轉移熵,藉此得到研究結果。 …”
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