Predge has signed an agreement with Kaunis Iron on decision support for predictive maintenance on their railway fleet. The decision support contributes to reduced operational disturbance and enables condition based maintenance. – We see that Predge’s solution helps us and our partners Rail Care T, Kiruna Wagon, and Damill AB in that our rail transportation […]
Predge AB and LKAB are jointly developing an innovative solution for condition monitoring and health prediction of conveyor belt systems, called CoCoP. A digital twin is developed and validated to provide predictive decision support for operation and maintenance of conveyor belt system. The degradation of all critical components due to wear and tear including their […]
Predge AB and LKAB have jointly applied for, and received, funding from *EIT RawMaterials to develop an innovative solution for condition monitoring and health prediction of Conveyor Belts. The project objective is to develop and validate an operational predictive decision support for operation and maintenance of conveyor belt systems realized on a digital platform and […]
Predge thanks LKAB for renewed trust to help and support them in their digitization journey. Now, the focus is rail ore transport on level KUJ 1365. LKAB operates remote controlled trains carrying ore from vertical chute to crushing, after which the ore is hoisted with large ore lifts (skip) about 1400 meters vertically up to […]
In November, 2020 Kammal Al-Kahwati joined our team. He has studied Computer Science and Engineering at Luleå University of Technology.
Our Rolling Stock™️ product site has now been updated with some new additional features. Read about our Automation feature – Automatic work orders which integrates with your maintenance system to create and manage work orders. On-Route Load Shifting is a Analytics feature with the purpose of detecting load movement on trains in operation. Ensuring high […]
Operative Center is a Decision Support feature within Predge Rolling Stock™. It targets users in need of live information about assets in operation. Current weather, condition of assets, including operational and contextual data, are all integrated to provide up-to-date information.
Wheel Profile Prediction, or WPP, aims at delivering refined information from wheel profile measurements. Predicting the wear and introducing remaining useful life estimates is one step towards optimizing the wheelsets’ life length. Background Wheel profile measurements, in general, provide a good insight into reactive measures related to maintenance of the wheels. Relying on individual measurements […]
Wheel damages caused by rolling contact fatigue is a critical aspect in global railway operations. Due to the exponential growth of these damages, it is crucial to have reliable, up-to-date information to avoid the critical events these potential damages may cause. The question is: how? AI and machine learning By keeping track of each individual wheel’s condition, and having an estimated life length of […]
Since the premiere launch a few years ago, we have had numerous successful implementations of our first solution, E365 Analytics. Over time, we have kept close to our customers to learn from their unique needs and experiences in the rolling stock industry. We are now taking the next step to meet the customer’s need for […]
The annual AREMA Conference & Expo is one of the world’s largest gatherings for railway engineering professionals and companies. The 2020 expo will be held virtually September 13-17 due to the Covid-19 outbreak. Representatives from Predge will hold a presentation about damage prediction using way-side detectors. The annual AREMA Conference & Expo is one of […]
Joakim joined us as a UX/developer on the 1st of September, 2020. He has recently finished his studies with a BSc in Digital Service Innovation and Information Security at Luleå University of Technology.
Elias joined our team on the 3rd of February, 2020. He has an academic background as an MSc in Space and Aeronautical Engineering at Luleå University of Technology. He continued with a scholarship and employment as a researcher in control theory at the university before joining Predge.