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A Deep-Learning Method for Remaining Useful Life Prediction of Power Machinery via Dual-Attention Mechanism.
Sensors (Basel)
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School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, Wuhan 430070, China.
Remaining useful life (RUL) prediction is a cornerstone of Prognostic and Health Management (PHM) for power machinery, playing a crucial role in ensuring the reliability and safety of these critical systems. In recent years, deep learning techniques have shown great promise in RUL prediction, providing more reliable and accurate outcomes. However, existing models often struggle with comprehensive feature extraction, especially in capturing the complex behavior of power machinery, where non-linear degradation patterns arise under varying operational conditions.
View Article and Find Full Text PDFCo-Optimization Operation of Distribution Network-Containing Shared Energy Storage Multi-Microgrids Based on Multi-Body Game.
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Xi'an Power Supply Company, State Grid Shaanxi Electric Power Co., Ltd., Xi'an 710032, China.
Under the carbon peaking and carbon neutrality target background, efficient collaborative scheduling between distribution networks and multi-microgrids is of great significance for enhancing renewable energy accommodation and ensuring stable system operation. Therefore, this paper proposes a collaborative optimization method for the operation of distribution networks and multi-microgrids with shared energy storage based on a multi-body game. The method is modeled and solved in two stages.
View Article and Find Full Text PDFEnhanced Electrochemical Performance of Dual-Ion Batteries with T-NbO/Nitrogen-Doped Three-Dimensional Porous Carbon Composites.
Molecules
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State Key Laboratory of Chemical Engineering, East China University of Science and Technology, Shanghai 200237, China.
Niobium pentoxide (T-NbO) is a promising anode material for dual-ion batteries due to its high lithium capacity and fast ion storage and release mechanism. However, T-NbO suffers from the disadvantages of poor electrical conductivity and fast cycling capacity decay. Herein, a nitrogen-doped three-dimensional porous carbon (RMF) was prepared for loading niobium pentoxide to construct a composite system with excellent electrochemical performance.
View Article and Find Full Text PDFFew-Layered Black Phosphorene as Hole Transport Layer for Novel All-Inorganic Perovskite Solar Cells.
Materials (Basel)
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Hainan Engineering Research Center of Tropical Ocean Advanced Optoelectronic Functional Materials, Hainan International Joint Research Center of Marine Advanced Photoelectric Functional Materials, Key Laboratory of Laser Technology and Optoelectronic Functional Materials of Hainan Province, Key Laboratory of Functional Materials and Photoelectrochemistry of Haikou, College of Chemistry and Chemical Engineering, Hainan Normal University, Haikou 571158, China.
The CsPbBr perovskite exhibits strong environmental stability under light, humidity, temperature, and oxygen conditions. However, in all-inorganic perovskite solar cells (PSCs), interface defects between the carbon electrode and CsPbBr limit the carrier separation and transfer rates. We used black phosphorus (BP) nanosheets as the hole transport layer (HTL) to construct an all-inorganic carbon-based CsPbBr perovskite (FTO/c-TiO/m-TiO/CsPbBr/BP/C) solar cell.
View Article and Find Full Text PDFDispersion-Stable Carboxymethyl Cellulose/Single-Walled Carbon Nanotube Composite for Water-Processed Organic Thermoelectrics.
Materials (Basel)
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Department of Polymer Engineering, Pukyong National University, Busan 48513, Republic of Korea.
Carbon nanotubes (CNTs) have drawn great attention as promising candidates for realizing next-generation printed thermoelectrics (TEs). However, the dispersion instability and resulting poor printability of CNTs have been major issues for their practical processing and device applications. In this work, we investigated the TE characteristics of water-processable carboxymethyl cellulose (CMC) and single-walled CNT (SWCNT) composite.
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