Abstract: A method is disclosed for the automatic detection and identification of errors in a balancing machine during operation, in which a rotor provided with an unbalance is rotatably mounted in a vibratory bearing in the balancing machine and is set in rotation by a drive, the rotational frequency of the rotating rotor and the vibrations stimulated by the rotor are measured and measurement signals which comprise the measured values of the rotational frequency and the vibrations are generated and delivered to an evaluation computer. The evaluation calculation is based on mathematical models of the dynamic properties of the balancing machine which describe stimulations of the machine structure due to the unbalance, in particular in the balancing planes, and/or due to the rotor geometry and/or due to the bearing and/or possible damage to the bearing.

Abstract: A method is disclosed for the automatic detection and identification of errors in a balancing machine during operation, in which a rotor provided with an unbalance is rotatably mounted in a vibratory bearing in the balancing machine and is set in rotation by a drive, the rotational frequency of the rotating rotor and the vibrations stimulated by the rotor are measured and measurement signals which comprise the measured values of the rotational frequency and the vibrations are generated and delivered to an evaluation computer. The evaluation calculation is based on mathematical models of the dynamic properties of the balancing machine which describe stimulations of the machine structure due to the unbalance, in particular in the balancing planes, and/or due to the rotor geometry and/or due to the bearing and/or possible damage to the bearing.

Abstract: Modem rotary machine production requires built-in fault detection and diagnoses. The occurrence of faults, e.g. increased friction or loose bonds has to be detected as early as possible. Theses faults generate a nonlinear behavior. Therefore, a method for fault detection and diagnosis of a rotary machine is presented. Based on a rotor system model for the faulty and un-faulty case, subspace-based identification methods are used to compute singular values that are used as features for fault detection. The method is tested on an industrial rotor balancing machine.

Abstract: Modem rotary machine production requires built-in fault detection and diagnoses. The occurrence of faults, e.g. increased friction or loose bonds has to be detected as early as possible. Theses faults generate a nonlinear behavior. Therefore, a method for fault detection and diagnosis of a rotary machine is presented. Based on a rotor system model for the faulty and un-faulty case, subspace-based identification methods are used to compute singular values that are used as features for fault detection. The method is tested on an industrial rotor balancing machine.