Propulsion Product Services Azipod® Sample-based Oil Analysis ABB provides condition monitoring and analysis services for evaluation of the condition and status of non-driveend and drive-end bearings, slewing bearings and gear rims, and hydraulic steering motors and pumps. The oil analysis service enables advance detection of abnormal equipment condition, allowing you to plan and schedule corrective action, thus minimizing unplanned downtime and costly repairs. High quality, accuracy, and consistency in the oil analysis are ensured through application of the ISO/IEC 17025:2005 standard in all ABB laboratories. The solution ABB provides sample-based oil analysis service for evaluation of the state and condition of critical components, such as shaft-line bearings and steering systems. This comprehensive oil analysis enables monitoring of the condition and status of the critical components and aids in detecting potential failures before they affect production. The customer regularly takes oil samples and submits them to an ABB-approved laboratory for testing and analysis. From these results, ABB provides a complete report with trend analyses and recommendations. ABB Customer Sampling device and instructions Oil analysis in laboratory Samples Sending samples to laboratory Benefits − − Better understanding and knowledge of the ‘health’ of critical components - Improved availability and safety of operation − − Optimal operation and maintenance performance - Long-term statistics, supporting continuous development − − Minimization of operational costs - Early diagnosis and preventive measures, helping to avoid lost production caused by unplanned downtime - Improved maintenance planning and reliability of operation Trend analysis Condition report Optimized operation and maintenance Scope of supply - Oil analysis for the customer-submitted samples - Non-drive-end (NDE) bearing (thrust bearing) - Drive-end (DE) bearing (propeller bearing) - Slewing bearing and gear rim - Steering hydraulics motors and pumps − − A condition report and recommendations Even pieces of equipment of exactly the same make and model wear and accumulate contaminants at different rates. Individual trend analyses and comparison of the results against the installed base provide the most effective method for determining the current equipment status, which enables you to solve developing problems before they become failures. Complementary options − − Inductively coupled plasma (ICP) atomic emission spectrometry for elemental analyses −− Vibration analysis for NDE and DE bearings − − High-frequency vibration analysis for slewing bearings −− PCMS (the ABB Propulsion Condition Management System) for on-line condition monitoring Service and reporting intervals DE bearing NDE bearing Steering gear (STU) Hydraulic unit (HPU) Months 1 2 3 4 5 6 7 8 9 10 11 12 1 2 ... Azipod life cycle services Availability The Sample-based Oil Analysis Service is available for all Azipod V-series models. Worldwide presence Operation Support 24/7 Support Training Maintenance Services Condition Monitoring Preventive Maintenance Spare Parts Services Enhanced Spares Availability & Logistics Exchange and Overhaul Service Modernizations Energy Efficiency Solutions Retrofits And Upgrades ABB Marine and Crane Services Azipod Service Center For more information please contact your nearest Service Center: www.abb.com/marine Azipod® propulsion An Azipod unit is a podded electric propulsion unit where the variable speed electric motor driving the fixed pitch propeller is in a submerged pod outside the ship hull, and the pod can be rotated around its vertical axis to give the propulsion thrust freely to any direction. Thus the ship does not need rudders, stern transversal thrusters or long shaftlines inside the ship hull. © Copyright 2011 ABB. All rights reserved. Specifications subject to change without notice. Azipod® is a registered trademark of ABB Oy. 3AFV6026604 EN Rev A 2011 #15329 Trend Analysis for high reliability Samples are taken and analyzed at regular intervals. Trend monitoring enables detection of internal abnormalities early on. Comparison of the most recent report to previous reports allows determining developments and trends. Tested values that fall within acceptable limits may show a pattern of subtle variance that could signal a developing problem.