Bearing fault diagnosis under unknown variable speed via gear noise cancellation and rotational order sideband identification
We propose a method for fault diagnosis under unknown variable speed conditions. The ANC method is enhanced for gear interference removal based on IDMM trend. The ANC result is converted into FPA domain leading to FCO representation via IFCF. A ROS-based strategy is proposed to identify bearing (shaft) rotational order. The ROS strategy helps discern the bearing rotational frequency.
bearing fault diagnosis rotational order sideband gear signal interferences unknown time-varying rotational speed instantaneous dominant meshing frequency multiple