Abstract
| Original language | English |
|---|---|
| Title of host publication | 16th International Conference on Computer and IT Applications in the Maritime Industries |
| Subtitle of host publication | Compit'17 |
| Editors | Volker Bertram |
| Place of Publication | Hamburg |
| Pages | 212-225 |
| Number of pages | 14 |
| Publication status | Published - 15 May 2017 |
| Event | 16th International Conference on Computer and IT Applications in the Maritime Industries - Angel Hotel, Cardiff, United Kingdom Duration: 15 May 2017 → 17 May 2017 Conference number: 16 http://www.compit.info/ |
Conference
| Conference | 16th International Conference on Computer and IT Applications in the Maritime Industries |
|---|---|
| Abbreviated title | COMPIT |
| Country | United Kingdom |
| City | Cardiff |
| Period | 15/05/17 → 17/05/17 |
| Internet address |
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Keywords
- maintenance
- condition monitoring
- decision support
- data acquisition
- wireless
- smart modular system
Cite this
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A smart modular wireless system for condition monitoring data acquisition. / Michala, Anna Lito; Vourganas, Ioannis.
16th International Conference on Computer and IT Applications in the Maritime Industries: Compit'17. ed. / Volker Bertram. Hamburg, 2017. p. 212-225.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
TY - GEN
T1 - A smart modular wireless system for condition monitoring data acquisition
AU - Michala, Anna Lito
AU - Vourganas, Ioannis
PY - 2017/5/15
Y1 - 2017/5/15
N2 - Smart sensors, big data, the cloud and distributed data processing are some of the most interning changes in the way we collect, manage and treat data in recent years. These changes have not significantly influenced the common practices in condition monitoring for shipping. In part this is due to the reduced trust in data security, data ownership issues, lack of technological integration and obscurity of direct benefit. This paper presents a method of incorporating smart sensor techniques and distributed processing in data acquisition for condition monitoring to assist decision support for maintenance actions addressing these inhibitors.
AB - Smart sensors, big data, the cloud and distributed data processing are some of the most interning changes in the way we collect, manage and treat data in recent years. These changes have not significantly influenced the common practices in condition monitoring for shipping. In part this is due to the reduced trust in data security, data ownership issues, lack of technological integration and obscurity of direct benefit. This paper presents a method of incorporating smart sensor techniques and distributed processing in data acquisition for condition monitoring to assist decision support for maintenance actions addressing these inhibitors.
KW - maintenance
KW - condition monitoring
KW - decision support
KW - data acquisition
KW - wireless
KW - smart modular system
UR - http://compit.hiper-conf.info/
UR - http://data.hiper-conf.info/compit2017_cardiff.pdf
M3 - Conference contribution book
SN - 9783892207016
SP - 212
EP - 225
BT - 16th International Conference on Computer and IT Applications in the Maritime Industries
A2 - Bertram, Volker
CY - Hamburg
ER -