Provocation tests, design of experiments and advanced statistical modeling to estimate product sensitivity to a defect: delamination failure case study for automotive semiconductors

Bergès, Corinne; Song, Jinrong; He, Chi; Qian, Xuejian; Jun, Ren; Li, Tian; Wen, Gaojie; Zhang, Haus

doi:10.1109/ipfa47161.2019.8984789

Cited by 1 publication

(1 citation statement)

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“…The execution of the experiment is aligned with this plan, leading to the collection and statistical analysis of the results. DoE equips system designers with the ability to discern the most influential variables, understand their interactions, and fine-tune the conditions to achieve optimal outcomes with minimal experimental iterations [17]. Complementing DoE, sensitivity analysis serves as a pivotal technique for examining how variations in the input parameters or model attributes influence the outputs or results [18].…”

Section: Sensitivity Analysis With Doementioning

confidence: 99%

Urban Advanced Mobility Dependability: A Model-Based Quantification on Vehicular Ad Hoc Networks with Virtual Machine Migration

Silva,

Cardoso,

Brito

et al. 2023

Sensors

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In the rapidly evolving urban advanced mobility (UAM) sphere, Vehicular Ad Hoc Networks (VANETs) are crucial for robust communication and operational efficiency in future urban environments. This paper quantifies VANETs to improve their reliability and availability, essential for integrating UAM into urban infrastructures. It proposes a novel Stochastic Petri Nets (SPN) method for evaluating VANET-based Vehicle Communication and Control (VCC) architectures, crucial given the dynamic demands of UAM. The SPN model, incorporating virtual machine (VM) migration and Edge Computing, addresses VANET integration challenges with Edge Computing. It uses stochastic elements to mirror VANET scenarios, enhancing network robustness and dependability, vital for the operational integrity of UAM. Case studies using this model offer insights into system availability and reliability, guiding VANET optimizations for UAM. The paper also applies a Design of Experiments (DoE) approach for a sensitivity analysis of SPN components, identifying key parameters affecting system availability. This is critical for refining the model for UAM efficiency. This research is significant for monitoring UAM systems in future cities, presenting a cost-effective framework over traditional methods and advancing VANET reliability and availability in urban mobility contexts.

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Section: Sensitivity Analysis With Doementioning

confidence: 99%