Today, mere data generation and analytics are not enough to create actionable insights. Providing information to the right user at the right time with all the needed information for decision making renders true value from data and analytics. To this end, Predge has developed Operative Center. Track assets and conditions Operative Center is a Decision […]
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 […]
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.
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.
Railway operators, wagon holders, and workshops around the world are now using a combination of data from wayside detectors, workshop measurement, and onboard systems to implement vehicle maintenance strategies and in turn increase safety, reliability, and availability of railway assets by detecting and mitigating the effect of damages or worn assets. Rail contact fatigue (RCF) […]
LKAB and Predge AB have signed a new agreement on delivery of decision support services, based on advanced analysis of big data. The service will enable LKAB to make correct decisions regarding operation and maintenance activities to secure their logistic flow. LKAB has shown that it is possible to achieve considerable improvements of critical KPIs. […]
Railway operators, wagon holders, and workshops around the world are now using a combination of data from wayside detectors, workshop measurement, and onboard systems to implement vehicle maintenance strategies and in turn increase safety, reliability, and availability of railway assets by detecting and mitigating the effect of damages or worn assets. While current wheel profile […]
It was a big event for us when former Minister of Industry, Mrs. Maud Olofsson, visited us on 14th of November. Maud is very active and interested in digitalisation and competitiveness issues. Maud sits on several different boards, including the Board of Swedish Enterprise (Svenskt Näringsliv). She was very curious to hear about our solution […]
We are proud to be recognized as as one of the top most promising tech start-ups in Sweden with global potential.
Norway's largest freight carrier Cargonet collaboration with eMaintenance365's has so far proved very successful. "The hopes have been met," says Torbjörn Abegg Haugland.
Predge is mentioned in VTG Annual Report 2018 as their partner to determine optimal maintenance time, which yields an estimate of the remaining useful life of the wagon.