Relevant:
Associated Results
- It is challenging to run a development project in a real-life production environment due to high pressure on production output.
- Data collection from legacy systems brings some specific IT challenges.
- Data understanding and data-pre-processing are crucial before starting the data analysis.
- It was proven once more that close collaboration is needed between data scientists and process experts to get reliable results.
- The results of PROPHESY-ML application to the use cases have been reported for both demonstrators in the project’s deliverables, achieving RUL prediction with accuracy as little as 4-5% Mean Absolute Percentage error.
- The PROPHESY-SHARE platform has developed into a multi-purpose tool for both remote support as well as providing specific work instructions and visualization of (predicted) tooling information to the maintenance mechanic. As a result, both industrial partners are considering investments in this technology.
- The end-users are very eager to work with digital support systems that ease their job as it brings a single point of data.
- Quite some hurdles to take in the field of health and safety, IT security, GDPR (e.g. face blurring).
- The development cycle with prototype demonstration v1-feedback from the end-users and other stakeholders-demonstration of an improved prototype v2-feedback from the end-users and interdepartmental stakeholders worked very well.