NSTL国家科技图书文献中心

1. Multi-path error processing and application of CEEMDAN joint wavelet packet algorithm NSTL国家科技图书文献中心

Wei Liu | Xiangru Fan ... - 《Sixth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2024),Part One of Two Parts》 - International Conference on Geoscience and Remote Sensing Mapping - 2025, - 1350606.1～1350606.10 - 共10页

摘要： multi-path error processing algorithm based on CEEMDAN | processed by CEEMDAN* decomposition and wavelet packet* | In order to weaken the influence of multi-path | error on positioning results in GNSS mine tower | derrick deformation monitoring, this paper proposes a

关键词： GNSS | Multi-path error | Wavelet packet | CEEMDAN

2. Research on vibration signal decomposition of cracked rotor-bearing system with double-disk based on CEEMDAN-CWT NSTL国家科技图书文献中心

Zhou W. | Jin X.... - 《Applied acoustics》 - 2025,227(Jan.) - 1.1～1.18 - 共18页

摘要： (CEEMDAN) and continuous wavelet transform (CWT), is | system. The CEEMDAN-CWT successfully separates the | CEEMDAN-CWT spectrum is about 1, while the difference of | © 2024 Elsevier LtdIn the actual working | process, the source of vibration signal is not only the

关键词： CEEMDAN-CWT method | Dynamic characteristics | Multi-degrees of freedom (MDoFs) | Rotor-bearing system | Signal decomposition

3. Application of the hybrid integration displacement algorithm based on CEEMDAN and wavelet threshold denoising in vibration screening equipment NSTL国家科技图书文献中心

Zhou, Jiacheng | Wu, Zhi ... - 《Measurement Science & Technology》 - 2025,36(1) - 1～14 - 共14页

摘要： decomposition with adaptive noise (CEEMDAN) and wavelet | that CEEMDAN* in combination with wavelet threshold* | Vibration screening equipment has an extensive | application profile in material screening, in which the | displacement parameters can reveal the motion state of the

关键词： hybrid integral displacement algorithm | CEEMDAN | wavelet threshold denoising | vibration screening | vibration displacement

4. CEEMDAN and adaptive distance embedding for fault diagnosis of train bogie bearing NSTL国家科技图书文献中心

Li, Jiayi | He, Deqiang ... - 《Measurement Science & Technology》 - 2025,36(3) - 1～22 - 共22页

摘要： adaptive noise (CEEMDAN) and adaptive weighted distance | kurtosis coefficient. It is embedded in CEEMDAN* to* | As an essential part of the train, the health | status of the bogie bearing is vital to its safety. In | a complex working environment, the fault signal of

关键词： train bogie bearing | CMK index | adaptive weighted distance manifold learning | data dimensionality reduction | fault diagnosis

5. Carbon price prediction research based on CEEMDAN-VMD secondary decomposition and BiLSTM NSTL国家科技图书文献中心

Ming,Fang | Yuanliang,Zhang ... - 《Environmental Science and Pollution Research》 - 2025,32(14) - 8921～8942 - 共22页

摘要： ensemble empirical mode decomposition (CEEMDAN), with the | errors of the CEEMDAN-VMD-COA-BiLSTM model on the EU | Abstract The carbon market is an institutional | innovation that utilizes market mechanisms to address | climate change. In recent years, carbon markets have

关键词： Carbon market | Secondary decomposition | Bidirectional long short-term memory neural network | Raccoon algorithm | Price prediction

6. Enhanced concrete crack detection using nonlinear ultrasonic signal denoising and feature enhancement with CEEMDAN, VMD and GRU NSTL国家科技图书文献中心

Liu, Jianfeng | Wang, Kui ... - 《Measurement Science & Technology》 - 2025,36(1) - 1～19 - 共19页

摘要： adaptive noise (CEEMDAN), the variational mode | intrinsic mode functions (IMFs) obtained from CEEMDAN* to* | with the EMD algorithm, CEEMDAN* combined with fuzzy* | The nonlinear ultrasonic detection signals of | concrete are highly sensitive to micro-damage changes and

关键词： nonlinear ultrasonic detection | denoising | concrete | complete ensemble empirical mode decomposition with adaptive noise | variational mode decomposition | gated recurrent unit

7. Study on joint de-noising method of ECG signals with improved CEEMDAN-wavelet thresholding and singular spectrum analysis NSTL国家科技图书文献中心

Ge, Liang | Ma, Yuhong ... - 《Journal of instrumentation》 - 2025,20(1) - 共18页

摘要： Ensemble Empirical Mode Decomposition (CEEMDAN)-wavelet | intrinsic mode function (IMF) identified using CEEMDAN | The electrocardiogram (ECG) signal is often | contaminated by various noises during acquisition and | transmission, and the denoising effect directly affects the

关键词： Data processing methods | Medical-image reconstruction methods and algorithms, computer-aided diagnosis | Bioinstrumentation

8. Combined ultra-short-term photovoltaic power prediction based on CEEMDAN decomposition and RIME optimized AM-TCN-BiLSTM NSTL国家科技图书文献中心

Daixuan Zhou | Yujin Liu ... - 《Energy》 - 2025,318(Mar.1) - 134847.1～134847.18 - 共18页

摘要： Decomposition with Adaptive Noise (CEEMDAN) and Rime-ice (RIME | is decomposed using CEEMDAN* to obtain smoother data* | Photovoltaic power prediction is crucial to | the stable operation of the power system. In order | to further improve the accuracy of photovoltaic

关键词： Rime algorithm | Attention mechanism | Artificial intelligence algorithm | Power prediction

9. A Novel Methodology for Chipped Teeth and Worn Tooth Gear Fault Detection Using Minimum Entropy Deconvolution and CEEMDAN NSTL国家科技图书文献中心

Priyom Goswami | Rajiv Nandan Rai - 《Journal of Vibration Engineering & Technologies》 - 2025,13(1 Pt.1) - 11～ - 共25页

摘要： Decomposition with Adaptive Noise (CEEMDAN) for signal | Purpose Gear faults are difficult to diagnose | using vibration signals in a noisy environment. Method | This paper proposes a novel approach for detecting | gear faults amidst noisy vibration signals by

关键词： Minimum entropy deconvolution (MED) | Dynamic time warping (DTW) | Fault correlation factor (FCF) | Approximate entropy (ApEn) | Gear fault diagnosis

10. A novel intelligent health indicator using acoustic waves: CEEMDAN-driven semi-supervised ensemble deep learning NSTL国家科技图书文献中心

Morteza Moradi | Georgios Galanopoulo...... - 《Mechanical Systems & Signal Processing》 - 2025,224(Feb.) - 112156.1～112156.29 - 共29页

摘要：Designing health indicators (HIs) for | aerospace composite structures that demonstrate their | health comprehensively, including all types of damage | that can be adaptively updated, is challenging | , especially under complex conditions like impact and

摘要： multi-path error processing algorithm based on CEEMDAN | processed by CEEMDAN* decomposition and wavelet packet* | In order to weaken the influence of multi-path | error on positioning results in GNSS mine tower | derrick deformation monitoring, this paper proposes a

关键词： GNSS | Multi-path error | Wavelet packet | CEEMDAN

摘要： (CEEMDAN) and continuous wavelet transform (CWT), is | system. The CEEMDAN-CWT successfully separates the | CEEMDAN-CWT spectrum is about 1, while the difference of | © 2024 Elsevier LtdIn the actual working | process, the source of vibration signal is not only the

关键词： CEEMDAN-CWT method | Dynamic characteristics | Multi-degrees of freedom (MDoFs) | Rotor-bearing system | Signal decomposition

摘要： decomposition with adaptive noise (CEEMDAN) and wavelet | that CEEMDAN* in combination with wavelet threshold* | Vibration screening equipment has an extensive | application profile in material screening, in which the | displacement parameters can reveal the motion state of the

关键词： hybrid integral displacement algorithm | CEEMDAN | wavelet threshold denoising | vibration screening | vibration displacement

摘要： adaptive noise (CEEMDAN) and adaptive weighted distance | kurtosis coefficient. It is embedded in CEEMDAN* to* | As an essential part of the train, the health | status of the bogie bearing is vital to its safety. In | a complex working environment, the fault signal of

关键词： train bogie bearing | CMK index | adaptive weighted distance manifold learning | data dimensionality reduction | fault diagnosis

摘要： ensemble empirical mode decomposition (CEEMDAN), with the | errors of the CEEMDAN-VMD-COA-BiLSTM model on the EU | Abstract The carbon market is an institutional | innovation that utilizes market mechanisms to address | climate change. In recent years, carbon markets have

关键词： Carbon market | Secondary decomposition | Bidirectional long short-term memory neural network | Raccoon algorithm | Price prediction

摘要： adaptive noise (CEEMDAN), the variational mode | intrinsic mode functions (IMFs) obtained from CEEMDAN* to* | with the EMD algorithm, CEEMDAN* combined with fuzzy* | The nonlinear ultrasonic detection signals of | concrete are highly sensitive to micro-damage changes and

关键词： nonlinear ultrasonic detection | denoising | concrete | complete ensemble empirical mode decomposition with adaptive noise | variational mode decomposition | gated recurrent unit

摘要： Ensemble Empirical Mode Decomposition (CEEMDAN)-wavelet | intrinsic mode function (IMF) identified using CEEMDAN | The electrocardiogram (ECG) signal is often | contaminated by various noises during acquisition and | transmission, and the denoising effect directly affects the

关键词： Data processing methods | Medical-image reconstruction methods and algorithms, computer-aided diagnosis | Bioinstrumentation

摘要： Decomposition with Adaptive Noise (CEEMDAN) and Rime-ice (RIME | is decomposed using CEEMDAN* to obtain smoother data* | Photovoltaic power prediction is crucial to | the stable operation of the power system. In order | to further improve the accuracy of photovoltaic

关键词： Rime algorithm | Attention mechanism | Artificial intelligence algorithm | Power prediction

摘要： Decomposition with Adaptive Noise (CEEMDAN) for signal | Purpose Gear faults are difficult to diagnose | using vibration signals in a noisy environment. Method | This paper proposes a novel approach for detecting | gear faults amidst noisy vibration signals by

关键词： Minimum entropy deconvolution (MED) | Dynamic time warping (DTW) | Fault correlation factor (FCF) | Approximate entropy (ApEn) | Gear fault diagnosis

摘要：Designing health indicators (HIs) for | aerospace composite structures that demonstrate their | health comprehensively, including all types of damage | that can be adaptively updated, is challenging | , especially under complex conditions like impact and

关键词： Prognostics and health management | Intelligent health indicator | Semi-supervised deep neural network | Ensemble learning | Acoustic emission

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： multi-path error processing algorithm based on CEEMDAN | processed by CEEMDAN decomposition and wavelet packet | In order to weaken the influence of multi-path | error on positioning results in GNSS mine tower | derrick deformation monitoring, this paper proposes a

关键词： GNSS | Multi-path error | Wavelet packet | CEEMDAN

摘要： (CEEMDAN) and continuous wavelet transform (CWT), is | system. The CEEMDAN-CWT successfully separates the | CEEMDAN-CWT spectrum is about 1, while the difference of | © 2024 Elsevier LtdIn the actual working | process, the source of vibration signal is not only the

关键词： CEEMDAN-CWT method | Dynamic characteristics | Multi-degrees of freedom (MDoFs) | Rotor-bearing system | Signal decomposition

摘要： decomposition with adaptive noise (CEEMDAN) and wavelet | that CEEMDAN in combination with wavelet threshold | Vibration screening equipment has an extensive | application profile in material screening, in which the | displacement parameters can reveal the motion state of the

关键词： hybrid integral displacement algorithm | CEEMDAN | wavelet threshold denoising | vibration screening | vibration displacement

摘要： adaptive noise (CEEMDAN) and adaptive weighted distance | kurtosis coefficient. It is embedded in CEEMDAN to | As an essential part of the train, the health | status of the bogie bearing is vital to its safety. In | a complex working environment, the fault signal of

关键词： train bogie bearing | CMK index | adaptive weighted distance manifold learning | data dimensionality reduction | fault diagnosis

摘要： ensemble empirical mode decomposition (CEEMDAN), with the | errors of the CEEMDAN-VMD-COA-BiLSTM model on the EU | Abstract The carbon market is an institutional | innovation that utilizes market mechanisms to address | climate change. In recent years, carbon markets have

关键词： Carbon market | Secondary decomposition | Bidirectional long short-term memory neural network | Raccoon algorithm | Price prediction

摘要： adaptive noise (CEEMDAN), the variational mode | intrinsic mode functions (IMFs) obtained from CEEMDAN to | with the EMD algorithm, CEEMDAN combined with fuzzy | The nonlinear ultrasonic detection signals of | concrete are highly sensitive to micro-damage changes and

关键词： nonlinear ultrasonic detection | denoising | concrete | complete ensemble empirical mode decomposition with adaptive noise | variational mode decomposition | gated recurrent unit

摘要： Ensemble Empirical Mode Decomposition (CEEMDAN)-wavelet | intrinsic mode function (IMF) identified using CEEMDAN | The electrocardiogram (ECG) signal is often | contaminated by various noises during acquisition and | transmission, and the denoising effect directly affects the

关键词： Data processing methods | Medical-image reconstruction methods and algorithms, computer-aided diagnosis | Bioinstrumentation

摘要： Decomposition with Adaptive Noise (CEEMDAN) and Rime-ice (RIME | is decomposed using CEEMDAN to obtain smoother data | Photovoltaic power prediction is crucial to | the stable operation of the power system. In order | to further improve the accuracy of photovoltaic

关键词： Rime algorithm | Attention mechanism | Artificial intelligence algorithm | Power prediction

摘要： Decomposition with Adaptive Noise (CEEMDAN) for signal | Purpose Gear faults are difficult to diagnose | using vibration signals in a noisy environment. Method | This paper proposes a novel approach for detecting | gear faults amidst noisy vibration signals by

关键词： Minimum entropy deconvolution (MED) | Dynamic time warping (DTW) | Fault correlation factor (FCF) | Approximate entropy (ApEn) | Gear fault diagnosis

摘要：Designing health indicators (HIs) for | aerospace composite structures that demonstrate their | health comprehensively, including all types of damage | that can be adaptively updated, is challenging | , especially under complex conditions like impact and

关键词： Prognostics and health management | Intelligent health indicator | Semi-supervised deep neural network | Ensemble learning | Acoustic emission

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： multi-path error processing algorithm based on CEEMDAN | processed by CEEMDAN* decomposition and wavelet packet* | In order to weaken the influence of multi-path | error on positioning results in GNSS mine tower | derrick deformation monitoring, this paper proposes a

摘要： decomposition with adaptive noise (CEEMDAN) and wavelet | that CEEMDAN* in combination with wavelet threshold* | Vibration screening equipment has an extensive | application profile in material screening, in which the | displacement parameters can reveal the motion state of the

摘要： adaptive noise (CEEMDAN) and adaptive weighted distance | kurtosis coefficient. It is embedded in CEEMDAN* to* | As an essential part of the train, the health | status of the bogie bearing is vital to its safety. In | a complex working environment, the fault signal of

摘要： adaptive noise (CEEMDAN), the variational mode | intrinsic mode functions (IMFs) obtained from CEEMDAN* to* | with the EMD algorithm, CEEMDAN* combined with fuzzy* | The nonlinear ultrasonic detection signals of | concrete are highly sensitive to micro-damage changes and

摘要： Decomposition with Adaptive Noise (CEEMDAN) and Rime-ice (RIME | is decomposed using CEEMDAN* to obtain smoother data* | Photovoltaic power prediction is crucial to | the stable operation of the power system. In order | to further improve the accuracy of photovoltaic