371   Artículos

 
en línea
Jose M. Bernal-de-Lázaro     Pág. 74 - 81
This article summarizes the main contributions of the PhD thesis titled: "Application of learning techniques based on kernel methods for the fault diagnosis in Industrial processes". This thesis focuses on the analysis and design of fault diagnosis syste... ver más
Revista: Inteligencia Artificial    Formato: Electrónico

 
en línea
Wenhao Sun, Yidong Zou, Yunhe Wang, Boyi Xiao, Haichuan Zhang and Zhihuai Xiao    
In the practical production environment, the complexity and variability of hydroelectric units often result in a need for more fault data, leading to inadequate accuracy in fault identification for data-driven intelligent diagnostic models. To address th... ver más
Revista: Water    Formato: Electrónico

 
en línea
Jia-Ling Xie, Wei-Feng Shi, Ting Xue and Yu-Hang Liu    
The fault detection and diagnosis of a ship?s electric propulsion system is of great significance to the reliability and safety of large modern ships. The traditional fault diagnosis method based on mathematical models and expert knowledge is limited by ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Longde Wang, Hui Cao, Zhichao Cui and Zeren Ai    
Marine engines confront challenges of varying working conditions and intricate failures. Existing studies have primarily concentrated on fault diagnosis in a single condition, overlooking the adaptability of these methods in diverse working condition. To... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Fengyun Xie, Gang Li, Hui Liu, Enguang Sun and Yang Wang    
In the context of addressing the challenge posed by limited fault samples in agricultural machinery rolling bearings, especially when early fault characteristics are subtle, this study introduces a novel approach. The proposed multi-domain fault diagnosi... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Zhuofan Xu, Jing Yan, Guoqing Sui, Yanze Wu, Meirong Qi, Zilong Zhang, Yingsan Geng and Jianhua Wang    
High-voltage circuit breakers (HVCBs) handle the important tasks of controlling and safeguarding electricity networks. In the case of insufficient data samples, improving the accuracy of the traditional HVCB mechanical fault diagnosis method is difficult... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Syed Safdar Hussain and Syed Sajjad Haider Zaidi    
This study introduces a novel predictive methodology for diagnosing and predicting gear problems in DC motors. Leveraging AdaBoost with weak classifiers and regressors, the diagnostic aspect categorizes the machine?s current operational state by analyzin... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yong Liu, Jialin Zhou, Dong Zhang, Shaoyu Wei, Mingshun Yang and Xinqin Gao    
To solve the problem of low diagnostic accuracy caused by the scarcity of fault samples and class imbalance in the fault diagnosis task of box-type substations, a fault diagnosis method based on self-attention improvement of conditional tabular generativ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Qiang Cheng, Yong Cao, Zhifeng Liu, Lingli Cui, Tao Zhang and Lei Xu    
The computer numerically controlled (CNC) system is the key functional component of CNC machine tool control systems, and the servo drive system is an important part of CNC systems. The complex working environment will lead to frequent failure of servo d... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Hongfeng Gao, Tiexin Xu, Renlong Li and Chaozhi Cai    
Because the gearbox in transmission systems is prone to failure and the fault signal is not obvious, the fault end cannot be located. In this paper, a gearbox fault diagnosis method grounded on improved complete ensemble empirical mode decomposition with... ver más
Revista: Applied Sciences    Formato: Electrónico

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