A fault diagnosis method for information systems based on weighted fault diagnosis tree
| Autor: | Liming Duan, Fenghai Wang, Rongli Gai, Ruifeng Guo |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Measure (data warehouse)
Warning system Knowledge representation and reasoning Computer science 020209 energy Perspective (graphical) Stability (learning theory) Hardware_PERFORMANCEANDRELIABILITY 02 engineering and technology Fault (power engineering) computer.software_genre 020202 computer hardware & architecture Tree (data structure) 0202 electrical engineering electronic engineering information engineering Information system Data mining computer |
| Zdroj: | Healthcom |
| Popis: | The health degree of large distributed information system reflected from the business perspective is the core index to measure the stability of information system. It has significant meaning for the fault diagnosis of any information system. To solve the above problems, a knowledge representation method based on weighted fault diagnosis is proposed in this paper. Based on the knowledge representation method, an information system fault diagnosis method based on weighted fault diagnosis tree is proposed. Then, a large distributed information system fault diagnosis model based on weighted fault diagnosis tree is established. Finally, an information system of medical industry is used to verify that the proposed method and model are efficient and practical, and it can provide quantitative means for the health of large distributed information system. In conclusion, the proposed method and model in the paper can find abnormal tendency and abnormal conditions of information system quickly and accurately, and provide performance assessment and fault early warning for large distributed information system. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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