Abstract
Machine faults and breakdowns are a concern for the manufacturing industry, especially in the field of assembly automation. There is a demand for diagnostic systems that can aid in minimizing downtime due to machine failure. Traditional methods for machine fault detection, such as PLC alarms, often provide limited useful information regarding the root cause of a machine fault. The project described in this paper attempts to enrich the quality of data available to technicians and engineers when diagnosing machine faults. The project goal is to develop an intelligent system that captures and saves video data of a fault occurrence. The proposed system was implemented on a laboratory conveyor apparatus and was qualitatively analyzed.
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Hughes, K., Szkilnyk, G., Surgenor, B. (2012). A System for Providing Visual Feedback of Machine Faults. In: ElMaraghy, H. (eds) Enabling Manufacturing Competitiveness and Economic Sustainability. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23860-4_50
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DOI: https://doi.org/10.1007/978-3-642-23860-4_50
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