Abstract
| Original language | English |
|---|---|
| Title of host publication | International conference Smart Ships Technology 2016 |
| Place of Publication | London |
| Publisher | Royal Institution of Naval Architects |
| Number of pages | 7 |
| ISBN (Print) | 9781909024502 |
| DOIs | |
| Publication status | Published - 27 Jan 2016 |
| Event | Smart Ship Technology - The Royal Institution of Naval Architects, London, United Kingdom Duration: 26 Jan 2016 → 27 Jan 2016 |
Conference
| Conference | Smart Ship Technology |
|---|---|
| Country | United Kingdom |
| City | London |
| Period | 26/01/16 → 27/01/16 |
Fingerprint
Keywords
- maintenance
- wireless
- condition monitoring
- ship machinery
Cite this
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Wireless condition monitoring for ship applications. / Michala, Anna Lito; Lazakis, Iraklis; Theotokatos, Gerasimos; Varelas, Takis.
International conference Smart Ships Technology 2016. London : Royal Institution of Naval Architects, 2016.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
TY - GEN
T1 - Wireless condition monitoring for ship applications
AU - Michala, Anna Lito
AU - Lazakis, Iraklis
AU - Theotokatos, Gerasimos
AU - Varelas, Takis
PY - 2016/1/27
Y1 - 2016/1/27
N2 - Wireless systems have proven to be robust and provide good quality of service for condition monitoring applications in industrial sector. These systems have proven to provide significant reductions in maintenance costs. Such a system is developed for ship applications. The methodology followed and the scope of recorded data for the purposes of condition monitoring of machinery and equipment onboard a vessel is presented. Off-line and real time measurements are combined allowing for incorporation of inspection data into the system. Additionally, the recorded data are processed and presented through a decision support system developed as part of the INCASS (Inspection Capabilities for Enhanced Ship Safety) project in order to assist crew members and onshore personnel in taking timely and effective maintenance actions. The result is a reliable user friendly graphical interface (GUI) developed in Java language. Data trends can be used to predict time to failure and allow for better maintenance planning and spare part scheduling.
AB - Wireless systems have proven to be robust and provide good quality of service for condition monitoring applications in industrial sector. These systems have proven to provide significant reductions in maintenance costs. Such a system is developed for ship applications. The methodology followed and the scope of recorded data for the purposes of condition monitoring of machinery and equipment onboard a vessel is presented. Off-line and real time measurements are combined allowing for incorporation of inspection data into the system. Additionally, the recorded data are processed and presented through a decision support system developed as part of the INCASS (Inspection Capabilities for Enhanced Ship Safety) project in order to assist crew members and onshore personnel in taking timely and effective maintenance actions. The result is a reliable user friendly graphical interface (GUI) developed in Java language. Data trends can be used to predict time to failure and allow for better maintenance planning and spare part scheduling.
KW - maintenance
KW - wireless
KW - condition monitoring
KW - ship machinery
UR - http://www.rina.org.uk/Smart_ShipTechnology.html
U2 - 10.3940/rina.sst.2016.19
DO - 10.3940/rina.sst.2016.19
M3 - Conference contribution book
SN - 9781909024502
BT - International conference Smart Ships Technology 2016
PB - Royal Institution of Naval Architects
CY - London
ER -