This Presentation examines the monitoring and analyzing of a turbine's condition through a systematic way, which can help identify turbine problems before they result in a major failure. It also outlines a few basic steps in Turbine and Turbine Oil and the importance of its Monitoring through Root Cause analysis (RCA) which may be affected due to contamination. Such contamination can result in increased maintenance requirements or premature component failure. Its Corrective and Preventive action (CA and PA) as well as Hydraulic valve failure analysis will also be discussed.

Varnish can take many forms within the industrial sector. One of the best ways to study varnish is to examine some of its appearances in the field. In this session, we will explore a range of case studies in the UK where some innovative and effective varnish removal techniques were used. Some of the industries covered include plastics, plastic injection molding, offshore oil & gas and a variety of applications including turbines & hydraulics.

AI in lubrication condition monitoring and prediction is expected to grow in the next few years tremendously for both offline data (sample analysis) and on-line data (sensors). AI can transform the application and management of machinery lubricants by analyzing massive data from machine operations to detect early signs of equipment wear and tear caused by improper lubrication, flagging potential failures before they become critical. AI enables predictive maintenance by identifying when lubricant properties are degrading or when machinery needs service. This proactive approach increases safety, minimizes downtime, and reduces repair costs. In this presentation, successful deployments and realized benefits across industries in addition to several challenges which hinder AI widespread adoption and effectiveness in machineries lubrication will be presented. 

To-date, much of the emphasis in varnish removal has been placed on turbomachinery systems - and rightly so given its prevalence, asset costs and downtime costs. But varnish is a catch-all term for deposit formation in lube oil systems that can also affect gears and hydraulic systems. In this session, we'll look at how that varnish can form, where it is likely to show up, and what we can do to prevent or remove it.

The Japan Fleet of Solar Turbines exhibit many types of learnings for those within the field. In this session, David And Tomo will take the audience through some learnings and experiences that they have encountered while working on these turbines in some harsh environments. They will present key findings on ways to handle particular challenges and solutions they found within their fleet. 

A P-F Curve is used in the Maintenance and Reliability world to combine two concepts: asset degraded condition (still functioning) and failure (loss of function). Its main objective is to guide an operator as to when a repair is due based on the health status of the asset. 

In this presentation, the two authors collaborate and use real life data from a manufacturing plant to build a P-F curve. The first part of the presentation covers the construction of the curve using Reliability Engineering principles. The second part applies the learnings from the P-F curve directly into the Asset Management program.                                                                

This session offers an in-depth exploration of the strategic development of a precision-driven lubrication regimen to enhance equipment reliability. It addresses the challenge of transitioning routine lubrication from a maintenance task to a core component of competitive advantage.

Creating such a plan is often ambiguous, and engineers may struggle to create a robust and accurate lubrication work plan. Mike Johnson will provide a roadmap to build an efficient and reliable machine lubrication service plan.

The presentation will provide insights into the importance of lubricant selection, application methods, and equipment maintenance schedules. The presenter will also touch on the role of technology in creating a precision lubrication work plan.

Participants will acquire a holistic understanding of creating a strategic lubrication plan that prevents equipment failure and positions lubrication as a key element in achieving operational excellence and competitive differentiation.