Rail Transport Unit Fault Localization Using Onboard Simulation
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Solution Overview
Problem
In rail vehicles, component failures during operation lead to time-consuming error localization and prolonged downtimes, necessitating a method for quick and precise fault detection.
Innovation Solution
A simulation device on board the transport unit dynamically generates simulated status data based on current status data and simulation data, allowing for rapid error detection and minimization of downtimes by comparing actual and target system states through a diagnostic device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If a static model comparison method is used for error detection, then the system structure is simpler, but the error localization speed and precision deteriorate
Solution Approach 1:
The patent applies preliminary action by pre-generating simulation data during the development phase that represents all possible system states. This pre-computed data is stored and later used for rapid comparison during operation, eliminating the need for complex real-time dynamic simulations while achieving fast error localization.
Solution Approach 2:
The patent uses copying by creating a virtual copy of the system's behavior through simulation data that mirrors actual system states. This virtual model is generated offline and copied into the system for quick reference during operation, enabling fast comparison without requiring the full complexity of the original dynamic system.
2Measurement precision
If dynamic simulation is performed in real-time, then error detection precision improves, but the computational load and energy consumption increase
Solution Approach 1:
The patent performs the computationally intensive dynamic simulation work in advance during system development and testing phases. The results are stored as simulation data that can be quickly retrieved and compared during operation, achieving high precision error detection without real-time computational burden.
Solution Approach 2:
The patent uses pre-generated simulation data as a disposable resource that can be quickly created offline and then rapidly accessed during operation. This approach trades offline computational effort for online efficiency, making the operational phase energy-efficient while maintaining high precision.
3Reliability
If extensive static model generation is performed, then the diagnostic accuracy improves, but the system setup time and complexity increase
Solution Approach 1:
The patent creates a simplified copy of the system's diagnostic capabilities through pre-generated simulation data that captures essential system behaviors. This virtual representation provides sufficient diagnostic reliability without requiring the full complexity of exhaustive static model generation.
Solution Approach 2:
The patent changes the approach from generating comprehensive static models to using dynamically generated simulation data with varying parameters. This allows the system to achieve high diagnostic reliability by comparing against multiple simulated scenarios rather than relying on a single extensive static model.
Data Source
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AI summary
The aim of the invention is to provide a transport unit, in which a rapid and precise fault localization can be achieved. To achieve said aim, it is proposed that the transport unit comprises a simulation device (28) with an interface (30), via which current status data (AZD) of the installation (16) can be received, and a computing unit (32) which is intended to determine simulated status data (SZD) on the basis of simulation data (SD1) and the current status data (AZD), which are representative for a status of at least a part of the installation (16).