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Joint Empirical Mode Decomposition and Optimal Frequency Band Estimation for Adaptive Low-Frequency Noise Suppression
A joint empirical mode decomposition and optimal frequency band estimation approach is proposed to reduce the low-frequency noise adaptively. In each...
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Dynamic mode decomposition with optimal amplitude and time-delay embedding for reconstruction and prediction of local measurements
To enhance the applicability of dynamic mode decomposition with time-delay embedding (DMD-TD) and reduce its computational complexity and memory...
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A Variational Mode Decomposition Approach for Modal Identification of Structures Using Optimal Sensor Placement
Modal identification describes the behaviour of the structure under dynamic loading conditions such as earthquake, wind, blast (impact), wave,...
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Multi-Objective Optimal Power Flow with efficient Constraint Handling using Hybrid Decomposition and Local Dominance Method
In this paper, a novel hybrid decomposition and local dominance-based multi-objective evolutionary algorithm (MOEA) is proposed for the...
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Optimization of microgrid operation based on two-level probabilistic scheduling with benders decomposition
In this paper, a two-level model for probabilistic microgrid scheduling, considering the uncertainties of electricity price and predicted load, is...
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Optimal Control
In contrast to state-feedback design based on the closed-loop pole assignment, state estimation and separation principle, linear quadratic regulation...
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Adaptive feature mode decomposition: a fault-oriented vibration signal decomposition method for identification of multiple localized faults in rotating machinery
Identification of multiple mechanical faults from vibration signals has always been one of the most challenging tasks in the field of condition...
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Fault diagnosis for gearboxes based on Fourier decomposition method and resonance demodulation
Condition monitoring and fault diagnosis of gearboxes play an important role in the maintenance of mechanical systems. The vibration signal of...
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Bi-level Stochastic Optimization Model for Coordination of Transmission and Distribution Networks Considering Generic Resources
In this paper, an optimization model for transmission and distribution network integration is proposed. The proposed model is a bi-level optimization...
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Tensor Decomposition
Tensor decompositions provide a powerful platform for dimensionality reduction, which is the fundamental of high-dimensional data analysis. They can...
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Demand-Side-Management-Based Bi-level Intelligent Optimal Approach for Cost-Centric Energy Management of a Microgrid System
Demand side management (DSM) separates elastic and inelastic loads and reorganizes a distribution system's load demand model while reducing the...
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Symmetry-based decomposition for optimised parallelisation in 3D printing processes
Current research in 3D printing focuses on improving printing performance through various techniques, including decomposition, but targets only...
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Development of an Ammonia Decomposition Unit
The global energy transition will require the use of hydrogen on an industrial scale to reduce carbon dioxide emissions down to the required level....
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Fault location of transmission lines by wavelet packet decomposition based on SSSC and EMD
In this paper, a hybrid transmission line fault localization method combining wavelet packet decomposition with TKEO is proposed. Aiming at the...
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Optimization of Robust Image Watermarking Based on DCT and Decomposition Using Genetic Algorithm
An easier data exchange makes information not guarantee confidentiality or ownership. Digital watermarking is needed to embed hidden information to...
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A Decomposition and a Scheduling Framework for Enabling Aerial 3D Printing
Aerial 3D printing is a pioneering technology yet in its conceptual stage that combines frontiers of 3D printing and Unmanned aerial vehicles (UAVs)...
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A Review of Decomposition Methods for ECG-Derived Respiratory Signal Extraction: Principles, Performance, and Applications
Electrocardiogram (ECG)-Derived respiratory methods have become a non-invasive technique for monitoring and assessing respiratory functions. The...
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Mid-infrared photoacoustic spectrum analysis of SF6 gas-decomposition system
Until now, the photoacoustic spectrum (PAS) analysis technology cannot face the need for SF 6 gas-decomposition products due to the high noise level,...
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Improved Variational Modal Decomposition for Partial Discharge Denoising
In order to remove the large amount of white noise mixed in partial discharge (PD) signals, this paper proposes a novel denoising method that...
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An improved empirical Fourier decomposition method and its application in fault diagnosis of rolling bearing
The vibration signals of faulty rolling bearings usually contain different components. The separation of the fault feature component from the bearing...