Name
Abstract | ||
|---|---|---|
Faced with a large number of fault management data, whether there are some important and interesting but unknown patterns in the event data has always attracted the attention of fault management engineer. Based on the analysis of fault management process and daily fault management data of engineering machinery and equipment, a fault management information event model is put forward, which includes six elements: description elements, object elements, time elements, space elements, modification elements and condition elements. Based on information event model we propose a fault pattern mining method, and we also tested the proposed approach on the practical production data of a construction machinery data service provider, the experimental results show that our approach is correct and effective. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/CoDIT.2019.8820534 | 2019 6TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT 2019) |
Field | DocType | ISSN |
Data mining,Event model,Computer science,Fault management,Event data,Data as a service | Conference | 2576-3555 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||