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20240806_163103
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Monitoring elastic vibrations can help early diagnosis of faults in rotating machines, such as roller bearings. Most methods developed so far are either based on empirical observations, or highly simplified models on acoustic emission such as triangulation. In this talk, rather than use triangulation, we develop a method that uses all the acoustic information available. That is, we show a full tomographic approach using elastic waves to predict the force between the raceway and bearing by measuring acoustic emission (and also shear wave emission). Tomographic models are often not used in practical applications, as they can require a large number of sensors and data. However, for cylindrical roller bearing, the amount of known prior information (the number of bearings, speed they travel, cylindrical symmetry etc..) means that a tomographic method can be used with very few sensors, as we demonstrate with numerical simulations in this talk.
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