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.
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 […]
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 […]
By keeping track of each individual wheel’s condition, and having an estimated life length of each wheel, many benefits can be achieved. The Wheel Damage Prediction (WDP) feature in the Rolling StockTM package from Predge is based on AI and Machine learning principles with hybrid models. The WDP utilizes information from wayside detectors measuring wheel impact forces. By synchronizing it with estimated and measured distance, weather data, and tuning the performance against the maintenance records, a full-scale picture can be presented to the users, such as operation centers and maintenance planners.
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.
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 […]
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) […]
