scholarly journals Research on Key Technology of Fault Diagnosis of Power Cables

2017 ◽  
Author(s):  
Dandan Su ◽  
Dezhong Kong
Keyword(s):  
Fault Diagnosis ◽  
Power Cables ◽  
Key Technology

scholarly journals Fault diagnosis of power cables by neural network.

1990 ◽  
Vol 110 (3) ◽  
pp. 273-280 ◽  
Author(s):  
Makito Seki ◽  
Kazuyuki Aihara ◽  
Shigeru Kitai ◽  
Kenichi Hirotsu
Keyword(s):  
Neural Network ◽  
Fault Diagnosis ◽  
Power Cables

Study on B/S-Based Remote Fault Diagnosis System of Radar Equipment

2011 ◽  
Vol 383-390 ◽  
pp. 5605-5608
Author(s):  
Zhi Jian Sun ◽  
Xian Zhi Zhang ◽  
Wen Sheng ◽  
Shi Hua Liu
Keyword(s):  
Fault Diagnosis ◽  
Web Based ◽  
Diagnosis System ◽  
Key Technology ◽  
System A ◽  
Radar Network ◽  
Key Points ◽  
Fault Diagnosis System ◽  
Function Module ◽  
Set Up

This paper discusses a Web-based remote radar fault diagnosis and information system . A delicated radar network is set up with knowledge base and Web . The various key points about the structure , the function module and the key technology of the remote diagnosis system are analyzed and developed . In this way the real-time monition and automatical fault and diagnosis are realized , the reliability of the radar and the emergency repairing ability is improved .

Research on Fault Diagnosis Theory and Key Technology for Power Machinery

2013 ◽  
Vol 427-429 ◽  
pp. 312-315
Author(s):  
Hong Zhang ◽  
Shou Sheng Zhang ◽  
Jun Jie Wang
Keyword(s):  
Fault Diagnosis ◽  
Singular Value Decomposition ◽  
Experimental Analysis ◽  
Singular Value ◽  
Rotor System ◽  
Smoothing Method ◽  
End Effect ◽  
Key Technology ◽  
Power Machinery ◽  
Value Decomposition

Based on the disadvantages of the original LMD algorithm in terms of smoothing method and end effect, this paper puts forward to a method of diagnosis of rotor system faults based on the improved LMD and singular value decomposition. The PF component obtained after applying the improved LMD method is able to separate the aliasing modes while maintaining the natures and features of the original PF component. Thus, the systems real information can be grasped more effectively. According to the experimental analysis, this method can be applied to diagnosis of rotor system faults effectively.

Research on Power System Fault Diagnosis Technology

2014 ◽  
Vol 898 ◽  
pp. 634-637
Author(s):  
Wei Gao ◽  
Zhong Tang
Keyword(s):  
Fault Diagnosis ◽  
Power System ◽  
Set Theory ◽  
Rough Set ◽  
Network Optimization ◽  
Rough Set Theory ◽  
Optimization Methods ◽  
Neural Network Optimization ◽  
Key Technology ◽  
Main Development

The current proposed technologies for fault diagnosis of power system were investigated, including expert system, artificial neural network, optimization methods, and rough set theory. The applicability and characteristics of these technologies for power system fault diagnosis were briefly analyzed and also. The existing flaws and improvements are given. Finally, the recently research status were reviewed and discussed, the key technology issues on and main development trends of the issues are pointed out to motivate the developments.

Research on Key Technology of Knowledge-Based Intelligent Fault Diagnosis of Hydraulic System

2012 ◽  
Vol 241-244 ◽  
pp. 313-316 ◽  
Author(s):  
Xue Xia Liu ◽  
Ye Fa Tan
Keyword(s):  
Fault Diagnosis ◽  
Hydraulic System ◽  
Object Oriented ◽  
Knowledge Bases ◽  
System Structure ◽  
Structure Model ◽  
Key Technology ◽  
Knowledge Based ◽  
Complete Knowledge ◽  
Fault Diagnosis System

A general framework of hydraulic fault diagnosis system was studied. It consisted of equipment knowledge bases, databases, fusion reasoning, knowledge acquisition and so on. The tree-structure model of the fault knowledge was established based on fault hierarchy and logicality. Fault nodes knowledge was encapsulated by object-oriented technique. Complete knowledge bases were made including fault bases and diagnosis bases. It could describe the fault positions, system structure, cause-symptom relationships, diagnosis principles and other knowledge. The results show that the methods are effective.

Parallel Fault Diagnosis of Power Transformer Based on MapReduce and K-Means

2014 ◽  
Vol 494-495 ◽  
pp. 813-816
Author(s):  
De Wen Wang ◽  
Xiao Jian Liu
Keyword(s):  
Fault Diagnosis ◽  
Power Transformer ◽  
Computing Technology ◽  
Mapreduce Framework ◽  
Parallel Method ◽  
Key Technology ◽  
Economic Operation ◽  
Linear Speedup ◽  
State Of Power ◽  
Transformer Fault

Fault diagnosis can insure the power transformer safety and economic operation, and the data mining is the key technology of fault diagnosis for power transformer. In order to achieve the fast parallel fault diagnosis for power transformer, we need to put cloud computing technology into the smart grid. We give a parallel method of K-means based on MapReduce framework on the Hadoop distributed systems cluster to diagnose operation state of power transformer. Finally, through transformer fault diagnosis experimentations of massive DGA data, the results indicate closely linear speedup with an increasing number of node computers.

The Integrated Test Platform Design of Wireless Communication Equipment Based on the Circuit Analysis and Fault Diagnosis

2015 ◽  
Vol 738-739 ◽  
pp. 1225-1230
Author(s):  
Da Wei Wang ◽  
Wei Zhang ◽  
Chuan Fei Qiu ◽  
Jian Hua Tu ◽  
Quan Zhi Zhou
Keyword(s):  
Fault Diagnosis ◽  
Wireless Communication ◽  
Signal Acquisition ◽  
Key Technology ◽  
Detection Techniques ◽  
Detection Point ◽  
Test Platform ◽  
Equipment Type ◽  
Software And Hardware ◽  
Communication Equipment

Aiming at the study of key technology of the integrated test platform of wireless communication equipment, this paper consists of several technology contents, mainly including criterion of detection, fault diagnosis evaluation, equipment type matching, optimization of circuit detection point, signal acquisition and so on. Combined with the intelligent circuit detection techniques and the development of software and hardware, the specific testing and repairing techniques of the wireless communication equipment are given to realize the steps, methods and processes, and the testing platform united with technology verification and software and hardware is developed and achieved.

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