TY - GEN 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 AU - Richardson, P DA - 2018-10-03 ID - 7614 JF - Conference Proceedings of INEC KW - Propulsion KW - Maintenance KW - Marine Systems KW - CBM KW - Oil L1 - https://library.imarest.org/record/7614/files/INEC%202018%20Paper%20059%20Richardson%20FINAL.pdf L2 - https://library.imarest.org/record/7614/files/INEC%202018%20Paper%20059%20Richardson%20FINAL.pdf L4 - https://library.imarest.org/record/7614/files/INEC%202018%20Paper%20059%20Richardson%20FINAL.pdf LK - https://library.imarest.org/record/7614/files/INEC%202018%20Paper%20059%20Richardson%20FINAL.pdf 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.  PY - 2018-10-03 T1 - Condition based data trending to optimise maintenance on Sandown class propulsion system TI - Condition based data trending to optimise maintenance on Sandown class propulsion system UR - https://library.imarest.org/record/7614/files/INEC%202018%20Paper%20059%20Richardson%20FINAL.pdf VL - INEC 2018 Y1 - 2018-10-03 ER -