2019
DOI: 10.24251/hicss.2019.124
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Holistic System-Analytics as an Alternative to Isolated Sensor Technology: A Condition Monitoring Use Case

Abstract: Sensor technology has become increasingly important (e.g., Industry 4.0, IoT). Large numbers of machines and products are equipped with sensors to constantly monitor their condition. Usually, the condition of an entire system is inferred through sensors in parts of the system by means of a multiplicity of methods and techniques. This so-called condition monitoring can thus reduce the downtime costs of a machine through improved maintenance scheduling. However, for small components as well as relatively inexpen… Show more

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Cited by 9 publications
(4 citation statements)
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“…Apart from that, data and analytics also enable the creation of added value in combination with existing products or services. This can be achieved by providing additional information-intensive services for the customer to enrich the value proposition of existing services [25,26]. Smart, connected products can be amplified based on e.g.…”
Section: Analytics-based Servicesmentioning
confidence: 99%
“…Apart from that, data and analytics also enable the creation of added value in combination with existing products or services. This can be achieved by providing additional information-intensive services for the customer to enrich the value proposition of existing services [25,26]. Smart, connected products can be amplified based on e.g.…”
Section: Analytics-based Servicesmentioning
confidence: 99%
“…Analyzing the wear of the cutting tool is essential for understanding the improvement potential of the machining process. Because the cutting tools are small and frequently changed, it is economically unviable to equip the tools themselves with sensors for connectivity, as is the case with several other small tools with low unit prices (Martin and Kühl, 2019). Consequently, the visual inspection of worn cutting tools is an important building block for understanding the wear and, therefore, the improvement potential.…”
Section: Machining Toolsmentioning
confidence: 99%
“…It is technically not possible to observe the condition of the component of interest directly-as, for instance, sensors cannot be mounted at the component. Therefore, data from sensors in the nearby environment of the component could be leveraged to infer the state of the seal by means of machine learning (Martin and Kühl, 2019).…”
Section: A31 Use Case Descriptionmentioning
confidence: 99%