As market pressure increases to drive down production costs in every industry, reducing operating and maintenance costs is increasingly important. You can use a condition monitoring program to actively monitor plant assets and properly schedule maintenance, helping to reduce unneeded repairs, or worse, unexpected machine failures. National Instruments provides a wide range of measurement and monitoring tools built on flexible, industry-proven platforms that can help engineers implement such a program.
Register now for each event to learn about the future of condition monitoring and how engineers are implementing these systems.
In an attempt to accommodate your schedule, you will have the opportunity to choose from 2 different times for each webcast, while still being able to interact with the presenter and other colleagues in your field of expertise.
Condition monitoring and predictive maintenance work together to offer several benefits including increased revenue, increased production reliability, lower downtime and lower repair costs. This session draws on the experience and expertise of a multiyear veteran in the field of condition-based and predictive maintenance.
Condition monitoring measurements often have unique requirements, from high bandwidth to built-in signal conditioning. National Instruments offers a flexible and cost-effective hardware and software platform for condition monitoring and predictive maintenance. This session examines application use cases from machine design and test to portable diagnostics for field use to online monitoring. Each use case illustrates important criteria in the selection and use of condition monitoring hardware and software.
While the science and practice of condition monitoring is well understood, prediction technologies (or prognostics) remains a science under development. One research organisation has made breakthroughs in applying advanced mathematical techniques to create a prognostics software platform. The IMS Center has invested more than 10 years in research for prognostics techniques along with its industrial members. This session describes these techniques, industrial case studies where they are used and their future in the market place.