Method and a control system for monitoring the condition of...

Data processing: measuring – calibrating – or testing – Measurement system in a specific environment – Mechanical measurement system

Reexamination Certificate

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C700S264000, C702S033000, C714S025000

Reexamination Certificate

active

07826984

ABSTRACT:
An industrial robot diagnostic method including performing a condition analysis utilizing at least two selected input signals, wherein each selected input signal indicates a condition related to a property of the industrial robot, performing an analysis of any combination of the selected input signals utilizing a signal modeling of the signals and outputting from the condition analyzer a result being at least one of: a detection of a malfunction of the robot system, an identification of a root cause failure in the robot system and prediction of a potential malfunction in the robot system. Also an industrial robot system utilizing the method.

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Sukhan Lee et al., “Perception-Net Based Geometric Data Fusion for State Estimation and System Self-Calibration,” Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robot and Systems-Innovative Robotics for Real-World Applications IROS '97, vol. 3, pp. 1375a-g-1376, 1997.
Bernd Freyermuth, An Approach to Model Based Fault Diagnosis of Industrial Robots, Proceedings of the 1991 IEEE International Conference on Robotics and Automation, Apr. 1991.
I.J. Rudas, Fault Detection in Robots Using Stochastic Filtering, Proceedings of the International Conference on Industrial Electronics, Control and Instrumentation (IECON), Oct. 28-Nov. 1, 1991, vol. 1, conf. 17, Oct. 28, 1991.

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