Automated Maintenance Planning of Self-Service Device Based on Event Log Data

Student: Skvortsov Grigory

Supervisor: Rostislav Yavorskiy

Educational Programme: Electronic Business (Master)

Year of Graduation: 2020

For IT-companies that provide services using complex software and hardware systems, monitoring the status of their device fleet and planning maintenance and upgrades based on the technical condition of each of them becomes an important task. For example, banks that use ATMs and mobile terminals to provide their services must monitor each device in order to prevent its downtime and, as a result, loss of customer loyalty, which is especially important given the high competition in the banking services market in Russia and in the world. This paper will present an approach to automated diagnostics, maintenance, and repair based on the log of events occurring on the device and readings from sensors installed on the device using machine learning techniques.

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