Scaling Predictive Maintenance with SENSEYE in Southampton

Visiting Senseye Headquarters to deliver Predictive Maintenance Workshop

Kenneth Dibben House at Southampton University Science Park

It was a bit of a race to get back from the Reliability Ireland 2019 conference in Cork to be in Southampton by Friday morning but with some careful planning and a quick pit stop in Coventry I arrived there the night before.

Senseye have been friends and collaborators now for about two years and this has proved of benefit to us both.
I get to learn from groups of data scientists whilst sharing my 40 years of front line experience with the last 15 spent specialising in predicting asset failures and strategies of how to mitigate them.

This was the second half day workshop I had delivered to Senseye's team, both ran around the same format with the overall aim being to transport a group of software engineers, data scientists and product support specialists into what it feels like at the sharp end of manufacturing.
Having worked for many years in production industries, utilities and other areas I can field most questions about how things work, break and how to best mitigate future failures.

My last full time position working for PepsiCo I specialised for almost 10 years with predictive techniques and how best to deploy ever constrained resources; this usually comes down to how many hours, people and revenue was available.
In this environment there was only so much you could sense check with hand held instruments and a trained data collector, something has to give and this usually catches you out.

My vision back then was ideally an automated process that could handle 100s and 1,000s of outputs from disparate sources and trend them against each other in near real time.
This is what a good PdM Technician can do via spreadsheets and in their heads, but they can only cover 10s to a 100 and have to go home to rest and reboot; automation does not, it's 24/7.
This would for me be akin to the 'holy grail' of Predictive Analytics, we are now ten years on from those thoughts I had and I believe SENSEYE have designed and formulated the solution, a truly scalable predictive maintenance solution and at an affordable cost.

The workshop went very well with a lot of new faces as Senseye is growing at a fast pace.
Some attendees had experience of working in the connected industries but the speciality of Predictive Maintenance is somewhat new to them so this is where I come in.

​In less then three hours I take them on this journey into a production environment, look at how people work, examine the interface between the technology and end user whilst fielding those all important questions they have about prediction, risks and consequences.

Many thanks to all the team at Senseye for being so welcoming, see you in April 😉