Abstract
Marine diesel engine has been the main power of civil ships, small and medium-sized ships and conventional submarines. Anomaly detection on diesel engines is very important for the safety of marine systems. Diesel engine anomaly detection requires access to a large number of high-frequency signals. How to store these signals to support anomaly detection applications is currently rarely studied. This article discusses the design of high-frequency signal storage systems that provide data support for intelligent anomaly detection systems. It mainly focuses the design of database system and file system for high-frequency signal storage requirements of diesel engines. The actual operation shows that the system designed in this paper can support the storage of high-frequency signals and the deployment of anomaly detection applications.
| Original language | English |
|---|---|
| Title of host publication | 2021 IEEE 4th International Conference on Computer and Communication Engineering Technology, CCET 2021 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 360-363 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781665438902 |
| DOIs | |
| State | Published - 13 Aug 2021 |
| Externally published | Yes |
| Event | 4th IEEE International Conference on Computer and Communication Engineering Technology, CCET 2021 - Virtual, Beijing, China Duration: 13 Aug 2021 → 15 Aug 2021 |
Publication series
| Name | 2021 IEEE 4th International Conference on Computer and Communication Engineering Technology, CCET 2021 |
|---|
Conference
| Conference | 4th IEEE International Conference on Computer and Communication Engineering Technology, CCET 2021 |
|---|---|
| Country/Territory | China |
| City | Virtual, Beijing |
| Period | 13/08/21 → 15/08/21 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 14 Life Below Water
Keywords
- diesel engine
- high frequency signal
- storage database
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