Abstract: A machine bearing disposed on a rotatable member, such as may be present on a vehicle, is described. A method for monitoring a state of health of the machine bearing includes monitoring, via a microphone, an acoustic signal, and coincidently determining a rotational speed of the rotatable member associated with the machine bearing. The sound spectrum is correlated to the rotational speed of the rotating member, and a time-frequency analysis is executed to determine a sound spectrum. The sound spectrum is transformed to a residual spectrum. A first feature associated with a first frequency band and a second feature associated with a second frequency band are extracted from the residual spectrum. The state of health associated with the machine bearing is detected based upon the first and second features, and is communicated to a second controller.

Abstract: A machine bearing disposed on a rotatable member, such as may be present on a vehicle, is described. A method for monitoring a state of health of the machine bearing includes monitoring, via a microphone, an acoustic signal, and coincidently determining a rotational speed of the rotatable member associated with the machine bearing. The sound spectrum is correlated to the rotational speed of the rotating member, and a time-frequency analysis is executed to determine a sound spectrum. The sound spectrum is transformed to a residual spectrum. A first feature associated with a first frequency band and a second feature associated with a second frequency band are extracted from the residual spectrum. The state of health associated with the machine bearing is detected based upon the first and second features, and is communicated to a second controller.