Multi Information Fusion and Fault Diagnosis System for Motor Drive System in High Speed Train

2018 ◽  
Author(s):  
Linghui Meng ◽  
Yuanhang Wang ◽  
Jian Zhou ◽  
Xiaojian Ding ◽  
Xiaobing Li
Keyword(s):  
Fault Diagnosis ◽  
Information Fusion ◽  
High Speed ◽  
Drive System ◽  
Motor Drive ◽  
High Speed Train ◽  
Diagnosis System ◽  
Fault Diagnosis System ◽  
Motor Drive System

Research on Internet-Based Reconfigurable Distance Mechanical System Fault Diagnosis

2011 ◽  
Vol 52-54 ◽  
pp. 109-114
Author(s):  
Yun Jie Xu
Keyword(s):  
Fault Diagnosis ◽  
Mechanical System ◽  
High Speed ◽  
Structural Model ◽  
Component Technology ◽  
The Internet ◽  
Diagnostic Systems ◽  
Diagnosis System ◽  
J2ee Framework ◽  
Fault Diagnosis System

In order to meet requirements of increasingly high-speed, large and intelligent mechanical equipments on fault diagnosis, the Internet-based reconfigurable mechanical system fault diagnosis program was presented. The overall structure and networking schema of distance mechanical fault diagnosis system were analyzed, and the distance fault diagnosis network model based on J2EE framework was also described. The structural model and reconfigurable manner of the reconfigurable distance diagnosis system was provided, which used CORBA component technology to achieve reconfiguration. The detail steps of system that take some type of diesel engine as diagnosis object was described, and the intelligent diagnosing methods were also researched. The Internet-based fault diagnosis technology effectively improves the efficiency and accuracy of diagnostic systems.

scholarly journals A real-time fault diagnosis system for high-speed power system protection based on machine learning algorithms

2020 ◽  
Vol 10 (6) ◽  
pp. 6122
Author(s):  
Elmahdi Khoudry ◽  
Abdelaziz Belfqih ◽  
Tayeb Ouaderhman ◽  
Jamal Boukherouaa ◽  
Faissal Elmariami
Keyword(s):  
Machine Learning ◽  
Fault Diagnosis ◽  
Power System ◽  
Real Time ◽  
High Speed ◽  
Learning Algorithms ◽  
Time Estimation ◽  
Machine Learning Algorithms ◽  
Diagnosis System ◽  
Fault Diagnosis System

This paper puts forward a real-time smart fault diagnosis system (SFDS) intended for high-speed protection of power system transmission lines. This system is based on advanced signal processing techniques, traveling wave theory results, and machine learning algorithms. The simulation results show that the SFDS can provide an accurate internal/external fault discrimination, fault inception time estimation, fault type identification, and fault location. This paper presents also the hardware requirements and software implementation of the SFDS.

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