Uncertainty Budget for Hardware-in-the-Loop Test System
| Autor: | G. Chindris, L. Viman, Adrian Taut, Mihai Daraban |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
050210 logistics & transportation
Finite-state machine business.industry Computer science 05 social sciences Automotive industry Hardware-in-the-loop simulation Uncertainty budget ComputerApplications_COMPUTERSINOTHERSYSTEMS 02 engineering and technology Reliability engineering Test (assessment) 020303 mechanical engineering & transports Software 0203 mechanical engineering Automotive systems 0502 economics and business business Reliability (statistics) |
| Zdroj: | Web of Science |
| DOI: | 10.1109/isse.2018.8443692 |
| Popis: | When it comes to the automotive industry two main testing approaches are used before a system prototype is manufactured: software-in-the-loop (SIL) and hardware-in-the-loop (HIL). Through these two testing methods, the software algorithms, hardware performance and reliability can be checked. As in a real automotive system, the HIL test system relies on analog measurements. Given that accuracy, resolution, and precision of these measurements are known, the main challenge is to define how reliable is the data acquired by these measurements. Since all the algorithms, hysteresis proprieties and state machines are developed and tested based on acquired data samples, what is basically needed is to determine the uncertainty or, more precise, to quantify the doubt about the measurement results, [1]. This paper will present an approach that can be used to determine the uncertainty budget for the measurements done in HIL systems. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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