Name
Title | ||
|---|---|---|
RDR-based knowledge based system to the failure detection in industrial cyber physical systems. |
Abstract | ||
|---|---|---|
•Industrial data analysis and feature selection by using crowdsourcing approach.•Hybrid (machine learning and human) industrial failure detection approach proposal.•Outstanding performance in enhancing the accuracy of failure detection.•Reduction of human expertise acquisition time and overfitting solving cost. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.knosys.2018.02.009 | Knowledge-Based Systems |
Keywords | Field | DocType |
Alarm network,Sensor data mining,Knowledge-based system,Failure detection,Knowledge engineering and cyber physical system | Factory,Functional failure,Computer science,ALARM,Knowledge-based systems,Cyber-physical system,Artificial intelligence,Dynamic problem,Machine learning | Journal |
Volume | ISSN | Citations |
150 | 0950-7051 | 2 |
PageRank | References | Authors |
0.43 | 20 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dohyeong Kim | 1 | 45 | 9.73 |
| Soyeon Caren Han | 2 | 30 | 11.67 |
| Yingru Lin | 3 | 2 | 1.11 |
| Byeong Ho Kang | 4 | 541 | 72.76 |
| Sungyoung Lee | 5 | 2932 | 279.41 |