Many of the established companies in the industrial automation, sensing and control areas are probably looking about with dismay at all of the hype surrounding the Internet of Things and think something along the lines of “This isn’t new, it’s what we have been doing for years”...
There’s a tremendous amount of noise about predictive maintenance and how it can save money for manufacturers but it’s often difficult to figure out what is and isn’t hype. Coming by any numbers, let alone from a reputable source can be difficult. Almost every case study published is from a company responsible for selling hardware of software into the predictive maintenance regime so of course the numbers will look favourable.
Southampton, UK - 15th March 2016 - Senseye, provider of the PROGNOSYS infrastructure-free prognostics and condition monitoring solution to the manufacturing industry, will be exhibiting and demonstrating its innovative machine failure forecasting software at the upcoming Maintec 2016 exhibition and conference in Birmingham, UK over the 22nd to the 24th March.
So you’ve made the decision that you need a tool to help you understand the performance of your machines and get a better idea of when they’re likely to fail. Your ultimate goal is to reduce unplanned downtime and increase those all important KPI’s – OEE, OTIF, etc. So what are the key features to look out for in such tools?
Prognostics – predicting when a machine will stop being able to perform its given function (protecting machine uptime) has been around for a while but some old beliefs have held it back from really taking off. With the rise of the Industrial IoT and new technology though, some of the ‘facts’ about it are now misconceptions: