Abstract: A method and device for forecasting at least one machine physical parameter measured by a sensorized rolling element in a bearing of an operating machine, the method including determining at least a set of machine operating conditions representative of the operation conditions of the machine while the machine is operating and implementing a conditional imputation model configured to forecast the machine physical parameter from the machine operating conditions. Also a method for training a conditional imputation model configured to forecast a machine physical parameter from a set of machine operating conditions.

Abstract: A method and for determining an updated statistical life value of a rolling bearing in a machine, the rolling bearing including a stationary ring and a rotatable ring and at least one row of rolling elements interposed between raceways of the ring, at least one of the rolling elements being a sensorized rolling element having a load sensor configured to measure a load distribution across the sensorized rolling element. The method includes determining a set of measurements, each measurement including at least load values of the load distribution measured by the load sensor of the sensorized rolling element, for each measurement, determining a life rating value from at least the load values of the measurement and from a rating life model of the bearing, and determining the updated statistical life value from at least the life rating values.

Abstract: A device (1) for calibrating a spall propagation model (12a) of a bearing (3) includes a processing means (8) for determining a condition indicator from measurements of the bearing (3). A determining means (9) determines a first calibrating value (CV1) representative of the appearance of a spall in a stationary ring (4) or rotating ring (5) of the bearing (3) after N1 number of revolutions of the bearing and a second calibrating value (CV2) representative of the evolution of the spall in the stationary ring (4) or rotating ring (5) after N2 number of revolutions of the bearing from the condition indicator. N2 is greater than N1. Identifying means (10) identifies at least one stage of propagation of the spall from the two calibrating values (CV1, CV2). A calibrating means (11) calibrates the spall propagation model (12a) from the two calibrating values (CV1, CV2).

Abstract: A method for monitoring a rolling bearing that has a sensorized rolling element includes sampling acceleration signals and load signals from the sensorized rolling element to produce acceleration values and load values each associated with a time instant, determining a rotation speed of the rotatable ring, determining a phase function of the sensorized rolling element from the acceleration values and the rotation speed of the rotatable ring, processing the load values to determine a magnitude of a resulting signal representative of a frequency content of an envelope of the load values over time, and detecting a damage of the rolling bearing and a location of the damage on the rolling bearing from the magnitude of the resulting signal and the phase function.