Test Plan for the Verification of the Robustness of Sensors and Automotive Electronic Products Using Scenario-Based Noise Deployment (SND)

Abstract

The targeted shortening of sensor development requires short and convincing verification tests. The goal of the development of novel verification methods is to avoid or reduce an excessive amount of testing and identify tests that guarantee that the assumed failure will not happen in practice. In this paper, a method is presented that results in the test loads of such a verification. The method starts with the identification of the requirements for the product related to robustness using the precise descriptions of those use case scenarios in which the product is assumed to be working. Based on the logic of the Quality Function Deployment (QFD) method, a step-by-step procedure has been developed to translate the robustness requirements through the change in design parameters, their causing phenomena, the physical quantities as causes of these phenomena, until the test loads of the verification. The developed method is applied to the test plan of an automotive sensor. The method is general and can be used for any parts of a vehicle, including mechanical, electrical and mechatronical ones, such as sensors and actuators. Nonetheless, the method is applicable in a much broader application area, even outside of the automotive industry.

Hypergraph and network flow-based quality function deployment

“…QFD can be represented as a network where the relationship between the matrices can be analyzed and visualized. The tool of network science provides further information about the importance of the elements and bottlenecks of the network [56] . The joint application of QFD and analytical network process (QFD-ANP) [57] , artificial neural network (ANN) [4] have been studied.…”

“…The network-based approach of QFD regarding CNC machine tool development is proposed and reveals the potential of utilizing the correlation network [11] . The potential in analyzing cascade of houses through networks has been highlighted [56] , however the correlation matrix is missing from the computation.…”

Introducing the Electronic Knowledge Framework into the Traditional Automotive Suppliers’ Industry: From Mechanical Engineering to Mechatronics

“…In 2021, ISO/SAE 21434 [17,18], which deals with cybersecurity, was released, and some OEMs are also asking about its compliance. Finally, automotive electronics can be affected by electromagnetism [19,20], extreme temperatures, and corrosive fluids exposition, so will also need to be certified in this area [21]. In short, complying with all this is difficult, and even more so when there is no prior experience.…”