Spin-off RFF project: Design and maintenance based on operational data


The aim of the project is to develop a scientific method for converting logged operational data from equipment into useful information for maintenance and design purposes.

The current project is directed towards the offshore industry, using case studies together with the project partners, MacGregor, Cameron, and Certex. However, the methods and algorithms developed will apply to other kinds of machinery as well, wherever solid constructions and moving components are involved.

To do this, we will convert the computationally expensive general methods for fatigue calculation into more specific, simplified models. These surrogate models can then run in real-time with operational data as input, resulting in real-time availability of remaining useful life. With knowledge of how the equipment is actually used, maintenance intervals may be adjusted, and design of future products can be done with much better insight into the actual requirements and needs of the customer.