On 3ES5K "Ermak" electric locomotives, onboard predictive diagnostic systems have begun to be implemented: the first ten machines are already equipped with a system that monitors the condition of key components in real time and warns in advance about possible failures. The project was launched by TMH at the Chita locomotive service depot as part of tests on the Eastern Polygon.
The predictive diagnostic system collects a stream of data from vibration, current, and temperature sensors. It monitors the bearings of wheel-motor blocks, traction electric motors, and batteries, recording even slight deviations that may precede a malfunction. Algorithms analyze the dynamics of parameters in real time and generate warnings before a defect turns into a failure.
The company noted that the transition to such a service model effectively changes the approach to locomotive repair itself: instead of reacting to a breakdown, the system allows for proactive management of fleet reliability and reduction of unscheduled downtime. According to project management, this should simultaneously reduce operating costs and increase the predictability of repairs when the technology is scaled.
The pilot operation of the system on the Eastern Polygon will last until November 2027. During this time, developers will check the stability of diagnostic data transmission, the accuracy of algorithms, and form the basis for possible serial implementation across the entire fleet.
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