Abstract
The paper focuses on the expert system shell which is proposed as a tool that can be used for a wide spectrum of industrial applications. A new architecture of the system enables reasoning by means of multi-domain knowledge representations and multi-inference engines. Moreover, the extended functionality of the system is developed using a context based approach. The system is implemented applying a data mining software which makes possible to acquire domain-specific knowledge and its direct application in the expert system shell. In this study, the preliminary verification is presented using the data registered by the SCADA system of the water supply network. The case study results are useful to illustrate the merits and limitations of the proposed approach.
| Original language | English |
|---|---|
| Title of host publication | Advanced and Intelligent Computations in Diagnosis and Control |
| Editors | Zdzisław Kowalczuk |
| Publisher | Springer Verlag |
| Pages | 369-382 |
| Number of pages | 14 |
| ISBN (Print) | 9783319231792 |
| DOIs | |
| Publication status | Published - 2016 |
| Event | 12th International Conference on Diagnostics of Processes and Systems, DPS 2015 - Ustka, Poland Duration: 6 Sept 2015 → 9 Sept 2015 |
Publication series
| Name | Advances in Intelligent Systems and Computing |
|---|---|
| Volume | 386 |
| ISSN (Print) | 2194-5357 |
Conference
| Conference | 12th International Conference on Diagnostics of Processes and Systems, DPS 2015 |
|---|---|
| Country/Territory | Poland |
| City | Ustka |
| Period | 6/09/15 → 9/09/15 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Context-based reasoning
- Expert systems
ASJC Scopus subject areas
- Control and Systems Engineering
- General Computer Science
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