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Project

Assessment and Control of EMI-induced False Negatives in Error Detection and Correction Codes

Current electric, electronic and programmable electronic (E/E/PE) systems are becoming more and more vulnerable to Electromagnetic Interference (EMI). This EMI can lead to False Negatives within the intercomponent or intersystem communications. A False Negative is the corruption of a valid code word into another, whereby an Error Detection and Correction Code can no longer distinguish corrupted data from error-free data. When this corrupted data, which is deemed valid, is used within the system, this might lead to severe failures which can cause harm to people and/or the environment. This PhD provides the techniques and measures to assess, control and sometimes eliminate, the occurrences of False Negatives under specific EMI. By tailoring an Error Detection and Correction Codes towards the most probable EMI by using inversion and bit interleaving, an EMI-resilient Error Detection and Correction Code is obtained. Furthermore, this PhD has developed a methodology which can help engineers to understand and specifically counter observed False Negatives within their system. Since more and more E/E/PE systems are used within safety-critical domains, it is essential that they operate as safe as possible, including achieving a rate of False Negatives as low as possible.

Date:1 Oct 2016 →  11 Sep 2020
Keywords:Software Engineering, Functional Safety, EMI Risk Management
Disciplines:Computer hardware, Computer theory, Scientific computing, Other computer engineering, information technology and mathematical engineering
Project type:PhD project