Review
September 07, 2021
Challenge:
The aim of the challenge owner was to implement predictive maintenance for the transport vehicles, which would enable failure prediction. By recognising patterns in the existing alarm system and installing additional sensors, a health status is to be mapped for each vehicle.
Solution:
Acoustic signals from the OHVs are recorded using a data collection kit. The classification of the OHVs is based on the acoustic anomalies recognised in this way, a ‘criticality metric’ of faults from the existing MACs database and the recognition of similar fault patterns in failed vehicles. The MVP developed enables unplanned downtimes to be avoided and optimised maintenance to be carried out with the help of a user-friendly dashboard.
Challenge owner: GlobalFoundries
Project partners: Telekom MMS
Business Development & Co-Innovation
// We are currently moving all posts from our old website. You will soon find the complete review here //
With our Digital Product Factory, we provide you with a project team that is customised to your challenge. We accompany the co-innovation process through to the development of a minimum viable product. Agile methodology and iterative processes ensure an efficient and successful innovation process.
Digital Marketing
We are always interested in exciting content in the context of industrial automation, in particular interesting facts about software, hardware and connectivity as well as related topics such as AI, digital sovereignty and sustainability.
If you would like to publish a guest post on our blog, we will be happy to do so.
Subscribe to our newsletter and stay up-to-date with the latest hub news!
