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Number of applications: 4

Development of a system for predicting technical malfunctions of cars
Customer

Agrostream
Decision acceptance deadline

10.09.26 (inclusive)

Form of award

не предусмотрена

Product status

Idea

Task type

ICT tasks

Сфера применения

Car industry

Область задачи

Intelligent control systems

Type of product

Software/ IS

Problem description

Technical malfunctions of cars are often detected after the appearance of pronounced symptoms or immediately at the moment of node failure. Routine maintenance does not always allow timely detection of a potential malfunction. It is necessary to move from responding to malfunctions that have already occurred to predictive maintenance based on the analysis of operational data.

Expected effect

* early detection of potential faults; * reduction of unplanned repairs; * Lower maintenance costs; * improving the reliability and safety of vehicle operation; * optimization of maintenance time.

Full name of responsible person

Adilova

Purpose and description of task (project)

Creation of an intelligent system capable of predicting the probability of malfunctions of individual components and assemblies based on vehicle operation data. The system must analyze data on mileage, operating modes, maintenance, sensor readings and fault history and make predictions about the need for diagnosis or maintenance.

Note

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