Abstract: A radial portion of a rotor is rotatably mounted to a stator and a cylindrical portion axially extends over radial teeth formed on the stator. A first surface of the first soft ferromagnetic material element is mounted to an inner surface of the cylindrical portion and a second surface of the first soft ferromagnetic material element has mounted on it a first magnet such that a surface of a pole of the first magnet is oriented substantially non perpendicular to a line from the centre of the rotor to the first magnet. A first surface of a second soft ferromagnetic material element is mounted to the first magnet such that the first magnet is sandwiched between the first and second soft ferromagnetic material elements. A second surface of the second soft ferromagnetic material element is substantially perpendicular to the line from the centre of the rotor to the first magnet.

Abstract: A rotor for an electric motor or generator, the rotor comprising a radial portion, a cylindrical portion, a first soft ferromagnetic material element, and a second soft ferromagnetic material element, wherein the radial portion is arranged to be rotatably mounted to a stator and the cylindrical portion is arranged to axially extend over radial teeth formed on the stator when the rotor is rotatably mounted to the stator, wherein a first surface of the first soft ferromagnetic material element is mounted to an inner surface of the cylindrical portion and a second surface of the first soft ferromagnetic material element is arranged to have mounted on it a first magnet such that a surface of a pole of the first magnet is oriented substantially non perpendicular to a line from the centre of the rotor to the first magnet, wherein a first surface of the second soft ferromagnetic material element is arranged to be mounted to the first magnet such that the first magnet is sandwiched between the first soft ferromagneti

Abstract: Systems and methods are disclosed for controlling, diagnosing and prognosing the health of a motorized system. The systems may comprise a diagnostics system, a prognostic system and a controller, wherein the diagnostics system and/or prognostic system employs a neural network, an expert system, and/or a data fusion component in order to assess and/or prognose the health of the motorized system according to one or more attributes associated therewith. The controller may operate the motorized system in accordance with a setpoint and/or a diagnostics signal from the diagnostics system and/or prognostic information.

Abstract: Systems and methodologies are disclosed for detecting faults and adverse conditions associated with electric motors. The method comprises obtaining a current signal associated with the motor, calculating a space vector from the current signal, determining a space vector angular fluctuation from the space vector, and analyzing the space vector angular fluctuation in order to detect at least one fault associated with the motor. Systems are disclosed having a diagnostics component adapted to obtain a space vector angular fluctuation from a current signal relating to operation of the motor, and to analyze the space vector angular fluctuation in order to detect at least one fault in the motor.