UHF RFID System for the Predictive Maintenance of a Filter Press: a real use case

Industry 4.0 and intelligent predictive maintenance: a survey about the advantages and constraints in the Italian context

“…, 2016), mixed reality troubleshooting methods, which allow identifying the origins of faults and possible solutions (Bottani et al. , 2021), radiofrequency systems, consent to collect technical information (Nappi et al. , 2021) or drones able to inspect inaccessible or dangerous areas (Zhong et al.…”

“…Nowadays, maintenance is driven by powerful mathematical and statistical models that support maintainers in adopting a new data-driven point of view, called "data-driven maintenance" (Kumar et al, 2018;Zhang et al, 2019). The availability of machine data collected in a robust and reliable way is in constant evolution, thanks to the concurrent development of new tools, such as a cloud-based system (Yuqian and Xun, 2019) useful to control demand, technologies and methodologies which harnesses maintenance policies (Zhang et al, 2017), such as thermal imaging cameras that allow monitoring production processes and help in taking maintenance decisions (Ramirez Nunez et al, 2016), mixed reality troubleshooting methods, which allow identifying the origins of faults and possible solutions (Bottani et al, 2021), radiofrequency systems, consent to collect technical information (Nappi et al, 2021) or drones able to inspect inaccessible or dangerous areas (Zhong et al, 2017). In addition, the development of sensors (which is establishing itself under the name of "smart sensors") allows the constant connection and interaction between people and things in any place by using a proper connection protocol (Bonfiglioli SpA, 2020), continuous monitoring of the characteristics of the production process, related to product itself, process and machines via online platform (Tancredi et al, 2020).…”