Application of extension theory to vibration fault diagnosis of generator sets

2004 ◽  
Vol 151 (4) ◽  
pp. 503 ◽  
Author(s):  
M.-H. Wang
Keyword(s):  
Fault Diagnosis ◽  
Extension Theory ◽  
Generator Sets

Research and Application of Extension CBR Fault Diagnosis Method for Process Production

2011 ◽  
Vol 467-469 ◽  
pp. 389-394
Author(s):  
Yuan Xu ◽  
Qun Xiong Zhu ◽  
Yan Qing Wang
Keyword(s):  
Fault Diagnosis ◽  
Terephthalic Acid ◽  
Formal Model ◽  
Solvent System ◽  
Basic Element ◽  
Extension Theory ◽  
Case Description ◽  
Work Efficiency ◽  
Diagnosis Method ◽  
Purified Terephthalic Acid

To enhance the work efficiency and systematization degree of fault diagnosis for process production, an extension CBR fault diagnosis (ECFD) method is proposed in which the extension theory applies the formal model to expand the possibility of matter and explore the innovative principle, and the CBR technology provides the ways for solution based on the historical experiences. Considering the characters of the two technologies, some researches are made on the extension basic-element case-description, distance-based extension case-retrieval, and character difference-based extension case-revision for fault diagnosis. Taking the purified terephthalic acid (PTA) solvent system as an application example for fault diagnosis, the ECFD method is proved to be feasible and effective, which provides a new way for diagnosing the production faults accurately.

scholarly journals Hybrid methodology based on extension theory for partial discharge fault diagnosis of power capacitors

2020 ◽  
Vol 17 (18) ◽  
pp. 20200250-20200250
Author(s):  
Meng-Hui Wang ◽  
Shiue-Der Lu ◽  
Mei-Ling Huang ◽  
Hong-Wei Sian ◽  
Cheng-Che Hsieh ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Partial Discharge ◽  
Extension Theory ◽  
Hybrid Methodology

Fault Diagnosis Expert System of Turbine Generator Sets Based on Rule Reasoning and Case Reasoning

2014 ◽  
Vol 513-517 ◽  
pp. 4443-4448 ◽  
Author(s):  
Chang Feng Yan ◽  
Hui Bin Wang ◽  
Li Long Zhou ◽  
Zhi Xin Li
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Expert Knowledge ◽  
Rule Base ◽  
Domain Expert ◽  
Retrieval Strategy ◽  
Turbine Generator ◽  
Rule Based ◽  
Generator Sets ◽  
Case Reasoning

A synthetic fault diagnosis expert system for turbine generator sets based on rule based reasoning and cases based reasoning is built in this paper. The structure of synthetic fault diagnosis expert system is discussed. The rule base and case base for the fault diagnosis of expert system is established based on the domain expert knowledge and relevant fault cases of turbine generator sets. Both the inference flow and case retrieval strategy of diagnosis system are discussed in detail. Finally the expert system is verified by a given application example.

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