Maintenance Analytics Summit’s chairman, Diego Galar, giving the opening remarks.
Category - Maintenance Analytics Summit 2018
The Digital Butterfly Effect – Amer Mohammed
Everyone is talking about digitalization and digital strategies. There is no “digital strategy”, there is only strategy! At Stena Line our mission statement is “The works first cognitive ferry operator”. Amer will show...
Quick Wins And Dead Ends: A Collection Of Customer Stories In Asset-Heavy Industries – Jake Bouma
Is the application of Machine Learning to Predictive Maintenance different to what we initially thought? By reviewing real world successes and failures across diverse industrial applications, this talk will challenge...
Providing Assurance On Diagnostics And Prognostics Technology – Joseph Morelos
The adoption of diagnostics and prognostics technology is accelerating in different industries. Fundamentally diagnostics is a “health meter” describing the state of the fault, degradation, failure modes in question...
Adding RPA To Your Mix Of Models – Peter Loof Helth
Maintenance is a process of physical and digital events. Being able to predict the optimal timing is a leap in cost reduction – but only when you can perform the required sequence of events. Learn how Ørsted is...
The Road To Zero Unplanned Downtime – Kieran Notter
Keeping your assets running is mission critical for your reputation, customer satisfaction and for keeping costs low, but what is the true cost of unplanned downtime? In 2017, ServiceMax from GE Digital commissioned...
Condition Based Maintenance In The Manufacturing Industry – Ali Rastegari
Presenting frameworks and guidelines to support the development and implementation of condition based maintenance in manufacturing companies, exemplifying practical case studies such as vibration analysis of machine...
Challenges In Modeling Elevators For Predictive Maintenance – Matti Laakso
Matti Laakso presents the unique challenge that the variety of different elevator makes, models, and types present to a company that provides predictive maintenance to all of them. Learning points: Predictive...
Predictive Maintenance Use Cases From The Energy Sector – Umid Akhmedov
In this session Umid will discuss some use cases from an energy company that is taking advantage of predictive analytics to make the world greener. Key takeaways: Align with the business strategy Build a solid data...
Automation Of Maintenance Prediction For Rotating Assets – Renato Neves & Rerngvit Yanggratoke
Combient is a joint venture with a mission to accelerate digital transformation within the companies participating in our federated collaboration platform, with companies representing some of the largest traditional...
