System of Diagnosis and Predictive Analysis for a Rolling Stocks Manufacturer

Objective & context

Software Engineering: System of Diagnosis and Predictive Analysis

Realizations

AKKA worked on different points of this project:

  • Control and monitor different data sources providing a process for reporting, classifying, analyzing failures to assist in identifying and implementing corrective actions.
  • Software development implementation using a Web application developed with PostgreSQL Server.
  • Application server used Apache Tomcat.
  • Human Machine interface developed in JavaScript JQuery, Ext.js, JQGrid and jqPlot.
  • SW includes predictive maintenance tool SIL 0, according to CENELEC EN 50128.
  • Train subsystems control and monitoring: internal and external doors, passenger information systems, rolling axes, brake system, ventilation, (passenger information system) etc.
  • Multiple data sources binary files, web services and client database.

Added value & customer benefits

Knowledge of processes, tools and standards

Multi-disciplinary team

  • Regular meetings involved in the complete process.
  • Computation of time spent by specialists and calculation of KPIs for the indicated tasks.

Type of service:  Work Package

Date & Duration: 2014 – 2016, 2 years

Location: Madrid

Tools: PostgreSQL Server, Apache, HTML5, JavaScript, Java, Eclipse, DOORS. GIT Transit stops