Deutsche Bahn Predictive Maintenance

Predictive Maintenance | Elevators Operated By Deutsche Bahn By Alexander Loth.

At the present time ctm systems cover in excess of 2,400km of track, with further expansion planned. In order to detect defects at an early stage, deutsche bahn (db) is relying on the powerful sensor technology of pan dacom direkt as part of its predictive maintenance project. You will understand the deutsche bahn’s condition based monitoring and diagnostics solution and how to implement it for the whole railway ecosystem, through innovative digital solutions for data gathering, analysis and diagnosis.

Db Offers Infraview, Predictive Maintenance Through The Use Of Intelligent Data Diagnostics And Analysis.

Siemens, which manufactured the velaro d trains operated by db, will analyse the data gathered by the trains and directly recommend any required maintenance to db’s engineers. More about deutsche bahn international operations. Infraview allows the monitoring of all assets, from different manufacturers, in one system.

Throughout Germany, Turnouts Can Thus Report Their Condition To The Maintenance Company 24/7 In.

Infraview operates one of the world´s largest iot platforms for condition monitoring and predictive maintenance in the railway sector and offers solutions for monitoring vehicles and systems. This proven system is already operational in germany, monitoring 10,000 points, point heaters, level crossings, interlocking and trains. The konux predictive maintenance system for rail switches.

In Cooperation With Db Netz Ag The Diagnosis And Analysis Platform Diana Was Developed, Which Is Used As A Digital Maintenance Tool In The Railway Industry.

Special sensors also record status data, which is then analyzed centrally, at relevant parts of the point controller. The system commenced operation in 2013 on an initial 210km. The use of intelligent data diagnost.

It Continuously Monitors And Analyzes The Health Of Key Switch Components Such As The Trackbed, And Frog, And Provides.

Deutsche bahn and siemens launch predictive maintenance pilot project. Impending faults and malfunctions as well as the sources of these problems will be identified at an early point by means of digitalized data analysis, and recommendations for vehicle. Db is now increasingly able to gain more information thanks to smart sensors and artificial intelligence, which make predictive maintenance possible.