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Intelligent systems in the automotive industry: applications and trends
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A layered approach to automated electrical safety analysis in automotive environments
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Qualitative order of magnitude energy-flow-based failure modes and effects analysis
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AI Communications - Intelligent Engineering Techniques for Knowledge Bases
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The automotive industry was the first to promote the development of applications of model-based systems technology on a broad scale and, as a result, has produced some of the most advanced prototypes and products. In this article, we illustrate the features and benefits of model-based systems and qualitative modeling by prototypes and application systems that were developed in the automotive industry to support on-board diagnosis, design for diagnosability, and failure modes and effects analysis.