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“The three-part series of interactive webcasts will explore the latest condition monitoring techniques and provide expert advice on best practices and emerging trends,” said the test company.
Typically conditioning monitoring programs actively monitor plant assets and properly schedule maintenance, helping to reduce unneeded repairs, or worse, unexpected machine failures.
Taking place on 6th, 7th and 8th December, each Machine Condition Monitoring Webcast will be broadcast at 10am and 2pm, giving attendees the opportunity to directly interact with presenters and machine conditioning experts.
The webcasts will also be available on demand after the series is complete at: uk.ni.com/webcasts/mcm
The three webcasts are as follows:
Why You Need a Condition Monitoring and Predictive Maintenance System -Tuesday 6th Dec, 10am and 2pm
Condition monitoring and predictive maintenance work together to offer 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.
Measuring and Analysing Condition Monitoring Signals – Wednesday 7th Dec, 10am and 2pm
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 case studies from machine design and test, portable diagnostics for field use and online monitoring; each illustrating important criteria in the selection and use of condition monitoring hardware and software.
The Future of Condition Monitoring – Thursday 8th Dec, 10am and 2pm
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.
