Results 131 to 140 of about 2,969,144 (286)

Fault Diagnosis System for Power Transformers [PDF]

Journal of King Abdulaziz University-Engineering Sciences, 2007
E. Mohamed, A. Abdelaziz, A. Mostafa
openaire   +1 more source

Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health

Advanced Materials, EarlyView.
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim, Seungwon Yoo, Tae Woog Kang, Yunuo Huang, Woon‐Hong Yeo   +4 more
wiley   +1 more source

Interpretable Fault Diagnostic Method for Converter Transformer Based on Knowledge Reasoning Approach

Shanghai Jiaotong Daxue xuebao
To address the limitations of conventional fault diagnosis and evaluation techniques for converter transformers under conditions of unclear fault mechanisms and insufficient fault data，an interpretable fault diagnosis method for converter transformers ...
LI Yuan, SUN Weizhe, LI Rui, LIU Jiefeng, WANG Tonglei, DU Xiuming, ZHANG Guanjun
doaj   +1 more source

Thickness‐Defined Transport Regime Toward Near‐Ideal Area‐Type Switching

Advanced Materials, EarlyView.
By thinning the oxide layer, memristors pass from diode‐like and battery‐effect‐dominated behavior toward eventual short‐circuit failure. Within the intermediate 5–6 nm window, they reach a near‐ideal analog area‐type switching regime, featuring symmetric hysteresis, area‐dependent conductance, and continuous linear programming of HRS and LRS with ...
Cuo Wu, Junjie Zhao, Richard Schroedter, Jason Vincent, Hampus Hoffman, Leif Riemenschneider, Abdallh Herbawe, Hao Shen, Ronald Tetzlaff, Stefan Slesazeck, Gianaurelio Cuniberti, Thomas Mikolajick, Benjamin Max   +12 more
wiley   +1 more source

A Novel Transformer Fault Diagnosis Method Based on Gross Error Examination

, 2011
The study applied the gross error theory to the transformer fault diagnosis, proposing a method for transformer fault diagnosis by integrating the gross error examination and the characteristic gas ratio method.
Jie Su, Xu Guang Wang
core   +1 more source

Beyond Passivation: Designing Structurally Tailored Artificial Interphases for High‐Energy Lithium‐Based Anodes

Advanced Materials Interfaces, EarlyView.
This review outlines critical engineering design rules for building artificial protective coatings on next‐generation lithium metal and silicon battery anodes. It highlights how balancing structural flexibility with strict electronic and ionic transport limits prevents early battery failure.
Surin Gupte, Vilas G. Pol
wiley   +1 more source

Multi‐Parametric Fluorescence Spectroscopy for the Detection and Characterization of Plant‐Derived Protein Residues on 316L Stainless Steel

Advanced Materials Interfaces, EarlyView.
UV–vis fluorescence spectroscopy enables sensitive monitoring of plant protein adsorption on AISI 316L stainless steel under food‐processing‐relevant conditions. Spectral deconvolution reveals adsorption‐induced changes associated with protein–surface interactions and conformational alterations, demonstrating the potential of the technique for ...
Alexander Khort, Erik Jansson, Gunilla Herting, Eva Blomberg, Kirsti Viljaste, Ahana Mukherjee, Inger Odnevall   +6 more
wiley   +1 more source

A Hybrid Method Based on PSO and FCM for Transformer Fault Diagnosis Using Dissolved Gas

, 2011
The fault diagnosis for power transformer plays an important role in improving the safety and reliability for an electrical network. Dissolved gas analysis (DGA) is a basic method to diagnose the fault of power transformer.
Xin Chen Guo, Fu Wei Zhang, Qiong Song
core   +1 more source

Toward Perception‐Native Electronic Skin: Bio‐Inspired In‐/Near‐Sensor and Neuromorphic Computing for Humanoid Robots

Advanced Materials Technologies, EarlyView.
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim, Chang‐Jae Beak, Jiyoung Park, Youngdo Jung, Sunjong Oh, Sin‐Hyung Lee, Bo‐Yeon Lee   +6 more
wiley   +1 more source

Research on a Transformer Vibration Fault Diagnosis Method Based on Time-Shift Multiscale Increment Entropy and CatBoost

Entropy
A mechanical vibration fault diagnosis is a key means of ensuring the safe and stable operation of transformers. To achieve an accurate diagnosis of transformer vibration faults, this paper proposes a novel fault diagnosis method based on time-shift ...
Haikun Shang, Tao Huang, Zhiming Wang, Jiawen Li, Shen Zhang   +4 more
doaj   +1 more source