Prognostics is the science of forecasting when your assets will stop being able to perform their intended functions. It means that you can properly perform predictive maintenance, with the right information and it is undoubtedly the future of condition monitoring.
Senseye, the Manufacturing Uptime as a Service company, today announced the close of a significant seed funding round, led by Breed Reply, alongside IQ Capital. Existing angel investors also participated. The capital will be used to launch Senseye’s revolutionary predictive maintenance software which automates analysis of condition monitoring data and enables advanced prognostics – automatically diagnosing failures as well as forecasting when a machine is likely to fail.
Predictive maintenance is clearly superior to prescriptive maintenance and can save upwards of 40% [McKinsey] of maintenance costs. Prognostics, as the science of predicting when machinery will fail is invaluable in an effective predictive maintenance program.
Uptime as a Service is the core of our offering at Senseye; we’re constantly pushing the boundaries of automated diagnostics, condition monitoring and prognostics to help you to reduce unplanned machine downtime and improve your predictive maintenance program.
Southampton UK, October 4th 2016: Senseye, the Uptime as a Service company, has published a free white for manufacturers and asset owners about prognostics, the science of predicting when machines will stop being able to perform work.
We’ve covered a short introduction to Condition Monitoring before – it’s great but has some shortcomings in that generally you need to be quite an expert in understanding the raw data to extract value for your predictive maintenance program.
There’s a lot of hype about Industry 4.0, otherwise called the ‘Industrial Internet of Things’. With all that’s on offer, it’s easy to get distracted by the possibilities of the myriad technologies and lose sight of what it should be about – helping you to improve your throughput, quality and uptime.
Senseye, the Uptime as a Service company, will be revealing how it’s making diagnostic engineers a thing of the past at the NMI Future World 2016 “Deep Tech” conference to be held in London, UK over the 15th-16th of September.
There’s an awful lot of discussion right now about the IoT / Industry 4.0 and the benefits it brings to predictive maintenance among other things (in summary, better quality information, delivered faster between machines). We believe that the most exciting application of the Industrial IoT is for prognostics but it doesn’t do much good to talk about the benefits without ensuring that the foundations of your IoT implementation are correct. We’ve put together three key principles which we think are essential to help ensure that you can take advantage of this emerging field and ultimately help to reduce machine downtime.
Condition monitoring is a great concept and technology – the ability in some cases to gain an almost instantaneous insight into the health of your machinery is an essential tool in an effective predictive maintenance regime. We’ve covered ‘condition monitoring in 10 minutes’ here.