TY  - GEN
N2  - The day to day challenges of maintaining legacy complex warships demands an ever increasing level of support to address the through life challenges of equipment obsolescence and an increasing number of emergent defects. To improve the materiel state of the in service platforms, a greater use of technology and data analytics is now being applied optimising the maintenance and through life support of key equipment and systems.

This paper provides a case study of the Babcock Warship Technical Authority (WTA) contribution to an equipment availability review of the maintenance schedule of the Voith Schneider Propulsion (VSP) system for the Single Role Mine Hunter (SRMH) Sandown class. The paper reviews the trends from historical oil sampling and vibration monitoring data, in combination with operational defects. These trends were compared with the reliability centred maintenance tasks to optimise support. The FMECA methodology has been applied to this information to provide recommendations on (i) the amount of condition based monitoring being applied, (ii) revisions to the standard operating procedures, (iii) the logging of environmental conditions; and (iv) baselining of equipment performance. The paper also considers the work being undertaken to optimise the through life support of the equipment, covering logistics, documentation and training.  

The role of the WTA is to introduce innovation and deliver intelligence lead support solutions at the waterfront to enhance the crew’s ability to take ownership and maintain their platform efficiently. This case study provides an example of how data trending and analysis can optimise the maintenance routine for key equipment on legacy platforms. 
AB  - The day to day challenges of maintaining legacy complex warships demands an ever increasing level of support to address the through life challenges of equipment obsolescence and an increasing number of emergent defects. To improve the materiel state of the in service platforms, a greater use of technology and data analytics is now being applied optimising the maintenance and through life support of key equipment and systems.

This paper provides a case study of the Babcock Warship Technical Authority (WTA) contribution to an equipment availability review of the maintenance schedule of the Voith Schneider Propulsion (VSP) system for the Single Role Mine Hunter (SRMH) Sandown class. The paper reviews the trends from historical oil sampling and vibration monitoring data, in combination with operational defects. These trends were compared with the reliability centred maintenance tasks to optimise support. The FMECA methodology has been applied to this information to provide recommendations on (i) the amount of condition based monitoring being applied, (ii) revisions to the standard operating procedures, (iii) the logging of environmental conditions; and (iv) baselining of equipment performance. The paper also considers the work being undertaken to optimise the through life support of the equipment, covering logistics, documentation and training.  

The role of the WTA is to introduce innovation and deliver intelligence lead support solutions at the waterfront to enhance the crew’s ability to take ownership and maintain their platform efficiently. This case study provides an example of how data trending and analysis can optimise the maintenance routine for key equipment on legacy platforms. 
AD  - Sandown Class Lead Engineer, Babcock International Group
T1  - Condition based data trending to optimise maintenance on Sandown class propulsion system
DA  - 2018-10-03
AU  - Richardson, P
L1  - https://library.imarest.org/record/7614/files/INEC%202018%20Paper%20059%20Richardson%20FINAL.pdf
JF  - Conference Proceedings of INEC
VL  - INEC 2018
PY  - 2018-10-03
ID  - 7614
L4  - https://library.imarest.org/record/7614/files/INEC%202018%20Paper%20059%20Richardson%20FINAL.pdf
KW  - Propulsion
KW  - Maintenance
KW  - Marine Systems
KW  - CBM
KW  - Oil
TI  - Condition based data trending to optimise maintenance on Sandown class propulsion system
Y1  - 2018-10-03
L2  - https://library.imarest.org/record/7614/files/INEC%202018%20Paper%20059%20Richardson%20FINAL.pdf
LK  - https://imarest.org/inec
LK  - https://library.imarest.org/record/7614/files/INEC%202018%20Paper%20059%20Richardson%20FINAL.pdf
UR  - https://imarest.org/inec
UR  - https://library.imarest.org/record/7614/files/INEC%202018%20Paper%20059%20Richardson%20FINAL.pdf
ER  -