To improve the lifespan of machines, the prevention of costly production losses and the optimization of overheads and maintenance costs, the application of sensors gains importance in predictive maintenance.
Predictive maintenance is more than mere condition monitoring; it not only describes the continuous monitoring of machines and manufacturing plants but also provides real-time analysis and algorithms to make predictions about the current maintenance condition.
The sensors give information about the physical parameters such as acceleration (e.g. engine vibration), force, pressure, oil condition (e.g. wear of gear), surface temperature etc. This information is analysed in real-time. The early diagnosis of problems
Predictive maintenance is more than mere condition monitoring; it not only describes the continuous monitoring of machines and manufacturing plants but also provides real-time analysis and algorithms to make predictions about the current maintenance condition.
The sensors give information about the physical parameters such as acceleration (e.g. engine vibration), force, pressure, oil condition (e.g. wear of gear), surface temperature etc. This information is analysed in real-time. The early diagnosis of problems
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