Title :
Power efficiency estimation based health monitoring and fault detection of modular and reconfigurable robot
Author :
Yuan, Jing ; Liu, Guangjun ; Wu, Bin
Author_Institution :
Dept. of Aerosp. Eng., Ryerson Univ., Toronto, ON
Abstract :
Power efficiency degradation of machines often provides intrinsic indication of problems associated with their operation conditions. Inspired by this observation, in this paper, a simple yet effective power efficiency estimation based health monitoring and fault detection technique is proposed for modular and reconfigurable robot with joint torque sensor. Power efficiency coefficients of each joint module are obtained using sensor measurements and used directly for health monitoring and fault detection. The proposed method has been experimentally tested on a modular and reconfigurable robot with joint torque sensing and a distributed control system. Experiment results have demonstrated the effectiveness of the proposed method.
Keywords :
distributed control; fault diagnosis; monitoring; robots; distributed control; fault detection; health monitoring; modular robot; power efficiency estimation; reconfigurable robot; Actuators; Computerized monitoring; Condition monitoring; Degradation; Electrical fault detection; Fault detection; Health and safety; Orbital robotics; Robot sensing systems; Torque; Health monitoring; fault detection; modular and reconfigurable robot; power efficiency estimation;
Conference_Titel :
Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-2502-0
Electronic_ISBN :
978-1-4244-2503-7
DOI :
10.1109/ICAL.2008.4636226