Power System Fault Diagnosis Based on Fault Information System and Forward and Backward Reasoning

Author(s):  
Sihua Liu ◽  
Qing Chen ◽  
Tipan Gao
2011 ◽  
Vol 121-126 ◽  
pp. 4481-4485
Author(s):  
Ai Yu Zhang ◽  
Xiao Guang Zhao ◽  
Lei Zhang

Due to the limited generality of traditional fault diagnosis expert system and its low accuracy of extracting failure symptoms, a general fault monitoring and diagnosis expert system has been built. For different devices, users can build fault trees in an interactive way and then the fault trees will be saved as expert knowledge. A variety of sensors are fixed to monitor the real-time condition of the device and intelligent algorithms such as wavelet transform and neural network are used to assist the extraction of failure symptoms. On the basis of integration of multi-sensor failure symptoms, the fault diagnosis is realized through forward and backward reasoning. The simulation diagnosis experiments of NC device have shown the effectiveness of the proposed method.


2005 ◽  
Vol 293-294 ◽  
pp. 365-372 ◽  
Author(s):  
Yong Yong He ◽  
Wen Xiu Lu ◽  
Fu Lei Chu

The steam turboset is the key equipment of the electric power system. Thus, it is very important and necessary to monitor and diagnose the running condition and the faults of the steam turboset for the safe and normal running of the electric power system. In this paper, the Internet/Intranet based remote condition monitoring and fault diagnosis scheme is proposed. The corresponding technique and methods are discussed in detail. And a real application system is developed for the 300MW steam turboset. In this scheme, the system is built on the Internet/Intranet and the Client/Server construction and Web/Server model are adopted. The proposed scheme can guarantee real-time data acquisition and on-line condition analysis simultaneously. And especially, the remote condition monitoring and fault diagnosis can be implemented effectively. The developed system has been installed in a power plant of China. And the plant has obtained great economic benefits from it.


2018 ◽  
Vol 394 (4) ◽  
pp. 042116 ◽  
Author(s):  
Lei Wang ◽  
Lingling Shang ◽  
Mengchao Ma ◽  
Zhiguang Ma

2019 ◽  
Vol 84 ◽  
pp. 1092-1105 ◽  
Author(s):  
Mingliang Suo ◽  
Baolong Zhu ◽  
Ruoming An ◽  
Huimin Sun ◽  
Shengzhong Xu ◽  
...  

2014 ◽  
Vol 644-650 ◽  
pp. 2965-2968
Author(s):  
Hua Wang ◽  
Xian Yu Li ◽  
Xue Ning Wang ◽  
Wei Na Liu

Based upon the synopsis of software support of information system, this paper puts forward main factors, integrated model and phase tasks of software support of information system, and gives description to software supportability analysis technology, software fault diagnosis technology, software fast recovery technology and software remote support technology so as to increase software support capabilities and information system effectiveness.


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