Machine builders and system integrators are increasingly providing added-value services to support their customers and drive down production costs. This is often through the use of machine condition monitoring as part of predictive maintenance programmes to reduce unplanned machine downtime and avoid undertaking the unnecessary work that can sometimes result from traditional planned maintenance regimes. National Instruments provides a wide range of measurement and monitoring tools built on flexible, industry-proven platforms that can help engineers implement machine condition monitoring.
To enable machine builders, system integrators and end users to gain a better understanding of machine condition monitoring, the implementation of such systems and the benefits available, National Instruments has prepared a series of three Machine Condition Monitoring webcasts that can be viewed on demand. By watching the webcasts, engineers can:
Condition monitoring and predictive maintenance work together to offer several benefits including increased revenue, increased production reliability, lower downtime and lower repair costs. This webcast draws on the experience and expertise of an experienced 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 webcast 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 ten years in research for prognostics techniques along with its industrial members. This webcast describes these techniques, industrial case studies where they are used, and their future in the market place.
Follow the link to watch webcasts from the Machine Condition Monitoring series.
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