Download PDFOpen PDF in browserIoT-Based Onboard Prognostic Health Evaluation System for Automotive SuspensionsEasyChair Preprint 100653 pages•Date: May 10, 2023AbstractWe consider the problem of developing functionally safe suspension components and sub-assemblies for automotive systems. Safety is prominent in all modes of transportation. Failure of suspension components represents a significant reason for car accidents. We develop an IoT-based continuous monitoring solution to predict the impending degradation of suspension through real-time detection and analysis of abnormal vibrations in these parts in real-time. Our system includes onboard sensors and computation modules for real-time detection, together with an offline analyzer in the cloud for the refinement of prediction accuracy through the lifetime of the part. We present a prototype of the system and discuss the architecture and implementation concerns involved in its design. Keyphrases: Automotive, IoT, suspension
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