Predicting a failure or remaining lifetime of a component is the typical target of Predictive Maintenance. Although many highly experienced maintenance technicians have developed an intuition for an individual machine and can sense the condition and its development, they shouldn´t take the role of a fortune teller. They should be experts and leaders making good…
IoT has been a rapid development shaping the industry and the world in the last decade. Several technological developments make this possible: new and smart sensors, faster networks, growing cloud performance, to name a few. At the same time the challenges have grown in complexity with the increasing number of online devices, and its capabilities.…
Predictive Maintenance is nowadays in everyone´s lips. Many companies are talking about data, digitalization, and industry 4.0 and want to benefit from data-based production and maintenance. However, it´s realization seems not to be as easy as expected. True to the motto "prevention is better than cure", we explain what´s behind Predictive Maintenance, show in which…
Running machinery and steady production are top priorities in any business – but maximum production also requires optimum maintenance of the equipment. Many crucial observations cannot be made at a running machine and regular maintenance activities and routines are therefore often a challenge. PREMAS® 4.0, developed for AUMUND and non-AUMUND conveying machines, has understood this…
Predictive maintenance instead of standstill: Together with Siemens, the start-up PREMAS AG, which is based in Baar ZG, has developed a smart solution that monitors the belt bucket elevator of a cement plant and thus helps maintenance managers to plan regular maintenance activities, detect machine weaknesses at an early stage and act proactively to ensure…
