Onboard trainset diagnostic suite

Technical solutions for onboard diagnostics of a high-speed EMU have been developed that integrate with intelligent EMU systems for centralised collection and processing of information on the technical condition of onboard systems and equipment. Information collection and accumulation uses databases optimised for use in embedded onboard computing devices.

Creation of a system that enables real-time determination of changes in equipment technical condition based on data obtained through centralised collection and processing of information

1. The diagnostic system provides:

• improved traffic safety by preventing EMU faults on the line;
• reduction of consequences of failures of components critical to safety, reliability, and comfort;
• increased EMU availability for operation;
• improved driving and control comfort;
• reduced downtime and repair time;
• reduced operating maintenance costs;
• improved reliability through fast and clear fault information;
• effective support for the EMU crew during operation and the repair crew during fault rectification to ensure reliable passenger service organisation
• facilitation of maintenance through equipment condition information;
• provision of data to service organisations for planning, optimisation, and execution of depot-level maintenance actions.

2. The high-speed EMU diagnostic system consists of the following macro-components:

• onboard system comprising hardware installed on the EMU, whose main function is centralised acquisition, processing, and recording of a set of diagnostic data;
• onboard telemetry system communicating with a ground server via wireless communication channels;
• ground system comprising several databases and a central data processing unit.

3. The diagnostic system implements:

• mathematical analysis of diagnostic parameters and generation of diagnostic events;
• provision of information to locomotive and train crews for decision-making during EMU operation;
• transmission of information via wireless communication channels to service personnel to enable preventive maintenance and repair measures based on the current technical condition of monitored EMU nodes.

1. Diagnostic data is collected by connecting to data transmission networks using networks built on various technologies and principles, including but not limited to: CAN;

Ethernet.

2. Data accumulation and storage uses a relational database optimised for real-time systems, with heightened requirements for data reliability and security.

3. Creation of digital twins — hybrid models of the EMU and its equipment for prescriptive condition diagnostics and prediction of faults and failures.

4. Software is developed using:

• programming languages: C, C++, Python;
• development tools: Visual Studio, Eclipse, NetBeans;
• source code management tools: SVN, Git;
• requirements management tools: T-FLEX RM.

5. Digital twins are developed using mathematical computation and dynamic modelling environments Engee and SimInTech.