Results 31 to 40 of about 2,243 (260)

Fault Diagnosis of Oil-Immersed Power Transformer Based on Difference-Mutation Brain Storm Optimized Catboost Model

IEEE Access, 2021
To address the problem of low accuracy of power transformer fault diagnosis, this study proposed a transformer fault diagnosis method based on DBSO-CatBoost model.
Mei Zhang, Wanli Chen, Yu Zhang, Fei Liu, Dongshun Yu, Chaoyin Zhang, Li Gao   +6 more
doaj   +1 more source

Classification Method in Fault Diagnosis of Oil-Immersed Power Transformers by Considering Dissolved Gas Analysis

Emitter: International Journal of Engineering Technology, 2022
Fault detection in the incipient stage is necessary to avoid hazardous operating conditions and reduce outage rates in transformers. Fault-detected dissolved gas analysis is widely used to detect incipient faults in oil-immersed transformers. This paper
Mauridhi Hery Purnomo, Rosmaliati, Bernandus Anggo Seno Aji, Isa Hafidz, Ardyono Priyadi   +4 more
doaj   +1 more source

Early fault diagnosis of transformer winding based on ReliefF-mRMR leakage magnetic field feature optimization and improved LSSVM

Diance yu yibiao
Aiming at the problem of complex transformer structure and small amount of early winding fault sample data, in order to improve the accuracy of transformer winding fault type diagnosis, this paper proposes an early fault diagnosis model of transformer ...
LIU Jianfeng, DONG Qianwen, TIAN Shuxin, LIU Mengqi, MEI Zhicong, ZHOU Hai   +5 more
doaj   +1 more source

A Novel Integrated Method to Diagnose Faults in Power Transformers

Energies, 2018
In a smart grid, many transformers are equipped for both power transmission and conversion. Because a stable operation of transformers is essential to maintain grid security, studying the fault diagnosis method of transformers can improve both fault ...
Jing Wu, Kun Li, Jing Sun, Li Xie
doaj   +1 more source

Convolutional-Transformer Model with Long-Range Temporal Dependencies for Bearing Fault Diagnosis Using Vibration Signals

Machines, 2023
Fault diagnosis of bearings in rotating machinery is a critical task. Vibration signals are a valuable source of information, but they can be complex and noisy.
Hosameldin O. A. Ahmed, Asoke K. Nandi
doaj   +1 more source

Power transformer vibration signal fault diagnosis based on feature determination coefficient

电力工程技术
Transformer live fault diagnosis is of great significance to ensure the safe and stable operation of power transformers. In response to the problem of complex working environment and limited fault types characterized by a single parameter, a method based
XIE Lirong, YAN Lyu, TUSONGJIANG·Kari, ZHANG Xinyue   +3 more
doaj   +1 more source

Sustained Therapeutic Efficacy of Intravenous Plasminogen Concentrate in Pediatric Patients With Type 1 Plasminogen Deficiency: An Analysis of Dosing Parameters and Clinical Outcomes

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Type 1 plasminogen deficiency (PLGD‐1) is an ultra‐rare autosomal recessive disorder caused by variants in the PLG gene and affects approximately 1.6 individuals per million. The condition is characterized by decreased plasminogen levels and impaired function, resulting in fibrin‐rich lesions on mucous membranes throughout the body.
Charles Nakar, Karen Thibaudeau, Mary Mathias, Heather McDaniel, Madlen Reschke, Klaus Tenbrock, Joseph M. Parker, Amy Shapiro   +7 more
wiley   +1 more source

Research on transformer fault diagnosis based on ISOMAP and IChOA‐LSSVM

IET Electric Power Applications, 2023
Oil‐immersed transformers play an important role in the stable operation of power systems. In order to improve the accuracy of transformer fault diagnosis, a transformer fault diagnosis method based on Isomap and IChOA‐LSSVM is proposed.
Wanjie Lu, Chun Shi, Hua Fu, Yaosong Xu
doaj   +1 more source

Fault Diagnosis of LSTM Network Tansformer Based on SMOTE and Bayes Optimization

Zhongguo dianli, 2023
With the improvement of power informatization, the method of transformer fault diagnosis based on intelligent algorithm and historical data has been paid more and more attention.
Hongjie ZHANG, Guifeng CHEN, Hongwei YAN, Xiaolong YANG, Tianren HOU, Wei ZHANG   +5 more
doaj   +1 more source

Evolutionary multi-objective fault diagnosis of power transformers

Swarm and Evolutionary Computation, 2017
Abstract This paper introduces a two step algorithm for fault diagnosis of power transformers (2-ADOPT) using a binary version of the multi-objective particle swarm optimization (MOPSO) algorithm. Feature subset selection and ensemble classifier selection are implemented to improve the diagnosing accuracy for dissolved gas analysis (DGA) of power ...
Abdolrahman Peimankar, Stephen John Weddell, Thahirah Jalal, Andrew Craig Lapthorn   +3 more
openaire   +1 more source