2023
DOI: 10.36001/ijphm.2020.v11i1.2591
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Development of data-driven PHM solutions for robot hemming in automotive production lines

Abstract: Robotic roller hemming is currently one of the most used solution for joining metal sheets in automotive industry, especially for those production lines which need to favor flexibility with respect to raw productivity and is mostly employed to assemble car doors. Hemming is a fairly delicate process since it does not only suffice a technical requirement – to join two panels together – but also an aesthetical one, since the joint panels are an integral part of the vehicle design and as such an important selling… Show more

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Cited by 5 publications
(1 citation statement)
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“…Simulated faults introduced inside the model of the robot arm would generate signals of different degraded behaviors that would be fed to DDMs to perform the features selection process. This methodology has been already validated not only for robot applications (Grosso, De Martin, Jacazio & Sorli, 2020), but also in the aeronautic field (Autin, Socheleau, Dellacasa, De Martin, Jacazio & Vachtsevanos, 2018;De Martin, Jacazio & Vachtsevanos, 2017;Nesci, De Martin, Jacazio & Sorli, 2020). To do so, it is crucial to have a clear insight into the failure modes affecting industrial manipulators and their impact on the entire system.…”
Section: Introductionmentioning
confidence: 99%
“…Simulated faults introduced inside the model of the robot arm would generate signals of different degraded behaviors that would be fed to DDMs to perform the features selection process. This methodology has been already validated not only for robot applications (Grosso, De Martin, Jacazio & Sorli, 2020), but also in the aeronautic field (Autin, Socheleau, Dellacasa, De Martin, Jacazio & Vachtsevanos, 2018;De Martin, Jacazio & Vachtsevanos, 2017;Nesci, De Martin, Jacazio & Sorli, 2020). To do so, it is crucial to have a clear insight into the failure modes affecting industrial manipulators and their impact on the entire system.…”
Section: Introductionmentioning
confidence: 99%