Reconfigurable Hardware-in-the-Loop Simulator

Thanagasundram, Suguna; McMurran, Ross; Mouzakitis, Alexandros; Matthews, Christian; Jones, Peter E.

doi:10.1177/002029401004300902

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…The reconfiguration of test sequences must be done considering the configuration of the pins in the connector on which the test stimuli are applied by the test engineers [7].…”

Section: Figure 8: Stimulation Of All the Output In The Onmentioning

confidence: 99%

Modelling the Interwoven Parallel Testing Process in the Automotive Industry

2023

IJOMAM

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This paper presents an original contribution regarding the improvement of the automatic EOL (End of Line) parallel testing process of electronic control units (ECU) in the automotive industry, by implementing an interwoven parallel testing algorithm to increase the testing quality. The new interwoven parallel test algorithm groups the tests into parallel test groups through which the defect of the pins in the connector is detected and at the same time allows the tests to be performed through the parallel test algorithm of all inputs and outputs. It combines the advantages of reduced test time with the detection of defects on the pins. The last part of the paper highlights the results obtained through the modeling of the interwoven testing algorithm and presents our conclusions that emerge from this case study.

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“…The reconfiguration of test sequences must be done considering the configuration of the pins in the connector on which the test stimuli are applied by the test engineers [7].…”

Section: Figure 8: Stimulation Of All the Output In The Onmentioning

confidence: 99%

Modelling the Interwoven Parallel Testing Process in the Automotive Industry

2023

IJOMAM

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“…The ECUs are distributed throughout the vehicle and communicate with each other in the car through communication protocols such as Controller Area Network (CAN), Local Interconnect Network (LIN), Media Oriented System. Transport (MOST) or the latest emerging protocol based on FlexRay technology [5].…”

Section: Introductionmentioning

confidence: 99%

Modeling of the Automatic Testing Process of Electronic Control Units in the Automotive Industry

2022

IJOMAM

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The scientific paper presents an original contribution regarding the modelling of the automatic EOL (End of Line) testing process of the Electronic Control Units (ECU) in the production flow in the automotive industry, by implementing the parallel testing algorithm to reduce the processing time at the related process station. This modelling operation for optimization must be implemented without affecting the quality of the automated functional testing process and is necessary for the application of the Kanban method in the automotive production flow. The process modelling begins with the analysis of the traditional execution time for each ECU input or output pin and continues with the development of a parallel test algorithm in which the test time for a single ECU is substantially decreased. By reducing the processing time of a station in the production flow, in this case at the EOL test station, a significant improvement in the capacity of the assembly line is achieved, which translates into cost savings at the resource level. The last part of the paper highlights the results obtained from the modelling of the process in order to optimize it and presents our conclusions developed in this case study.

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Four-axis gimbal system application based on gimbal self-adaptation adjustment

Qinbei

2015

2015 34th Chinese Control Conference (CCC)

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Reconfigurable Hardware-in-the-Loop Simulator

Abstract: Executive SummaryThe key innovation of the described Hardware-in-the-loop (HIL)

Cited by 3 publications

References 6 publications

Modelling the Interwoven Parallel Testing Process in the Automotive Industry

Modelling the Interwoven Parallel Testing Process in the Automotive Industry

Modeling of the Automatic Testing Process of Electronic Control Units in the Automotive Industry

Four-axis gimbal system application based on gimbal self-adaptation adjustment

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