Zobrazeno 1 - 10 of 36 pro vyhledávání: '"Tusongjiang Kari"'
1
Akademický článek
Dynamic Comprehensive Evaluation of a 660 MW Ultra-Supercritical Coal-Fired Unit Based on Improved Criteria Importance through Inter-Criteria Correlation and Entropy Weight Method
Autor: Haotian Yuan, Xiaojing Ma, Zening Cheng, Tusongjiang Kari
Publikováno v: Energies, Vol 17, Iss 7, p 1765 (2024)
To address the issue of traditional static evaluation models being unable to comprehensively analyze the performance of ultra-supercritical coal-fired units under varying loads, we propose a dynamic comprehensive evaluation model based on the improve
Externí odkaz: https://doaj.org/article/9eb5fd34edb24739baee9c3dd31b3cd0
Zobrazit plný text záznamu
2
Akademický článek
Health Assessment and Remaining Useful Life Prediction of Wind Turbine High-Speed Shaft Bearings
Autor: Zhenen Li, Xinyan Zhang, Tusongjiang Kari, Wei Hu
Publikováno v: Energies, Vol 14, Iss 15, p 4612 (2021)
Vibration signals contain abundant information that reflects the health status of wind turbine high-speed shaft bearings ((HSSBs). Accurate health assessment and remaining useful life (RUL) prediction are the keys to the scientific maintenance of win
Externí odkaz: https://doaj.org/article/de80fcb7c575417d96cca4500131d872
Zobrazit plný text záznamu
3
Akademický článek
Mixed Kernel Function Support Vector Regression with Genetic Algorithm for Forecasting Dissolved Gas Content in Power Transformers
Autor: Tusongjiang Kari, Wensheng Gao, Ayiguzhali Tuluhong, Yilihamu Yaermaimaiti, Ziwei Zhang
Publikováno v: Energies, Vol 11, Iss 9, p 2437 (2018)
Forecasting dissolved gas content in power transformers plays a significant role in detecting incipient faults and maintaining the safety of the power system. Though various forecasting models have been developed, there is still room to further impro
Externí odkaz: https://doaj.org/article/47377ec3d6a14cc6aec66ba144f9b636
Zobrazit plný text záznamu
4
Akademický článek
Identification of Power Transformer Winding Fault Types by a Hierarchical Dimension Reduction Classifier
Autor: Ziwei Zhang, Wensheng Gao, Tusongjiang Kari, Huan Lin
Publikováno v: Energies, Vol 11, Iss 9, p 2434 (2018)
Frequency response analysis (FRA) demonstrates significant advantages in the diagnosis of transformer winding faults. The instrument market desires intelligent diagnostic functions to ensure that the FRA technique is more practically useful. In this
Externí odkaz: https://doaj.org/article/f26cb873f9f34d6eb3342981493827a5
Zobrazit plný text záznamu
8
Research on facial expression recognition based on an improved fusion algorithm
Autor: Yilihamu Yaermaimaiti, Tusongjiang Kari, Guohang Zhuang
Publikováno v: Nonlinear Engineering. 11:112-122
This article puts forward a facial expression recognition (FER) algorithm based on multi-feature fusion and convolutional neural network (CNN) to solve the problem that FER is susceptible to interference factors such as non-uniform illumination, ther
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5c4cfa8512cf25dd76e3ddb75e6f9109
https://doi.org/10.1515/nleng-2022-0015
Zobrazit plný text záznamu
10
Akademický článek
Short-Term Wind Power Prediction Based on Combinatorial Neural Networks.
Autor: Tusongjiang Kari, Sun Guoliang, Lei Kesong, Ma Xiaojing, Wu Xian
Publikováno v: Intelligent Automation & Soft Computing; 2023, Vol. 37 Issue 2, p1437-1452, 16p
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje