Journal article
Remote, condition-based maintenance for web-enabled robotic system
Robotics and computer-integrated manufacturing, v 25(3), pp 552-559
2009
Abstract
The current trends in industry include an integration of information and knowledge-base network with a manufacturing system, which coined a new term, e-manufacturing. From the perspective of e-manufacturing any production equipment and its control functions do not exist alone, instead becoming a part of the holistic operation system with distant monitoring, remote quality control, and fault diagnostic capabilities. The key to this new paradigm is the accessibility to a remotely located system and having the means of responding to a changing environment, which is better suited for today's rapidly changing environment. Within the framework of the web-enabled robotic system, this paper focuses on the remote maintenance schemes with an emphasis on condition-based maintenance strategies. Real-time monitoring of robot harmonic drive systems and operational status have been attained over the Web. A mathematical modeling of system availability has been derived in order to account for other failures that might occur in the subsystems of the robot. Compared to the schedule-based maintenance strategies, the proposed approach shows great potential for improving overall production efficiency, while reducing the cost of maintenance.
Metrics
Details
- Title
- Remote, condition-based maintenance for web-enabled robotic system
- Creators
- Yongjin (James) Kwon - Division of Industrial and Information Systems Engineering, Ajou University, 443-749 Suwon, South KoreaRichard Chiou - Applied Engineering Technology, Goodwin College of Professional Studies, 3001 Market St. Suite 100, Drexel University, Philadelphia, PA 19104, USALeonard Stepanskíy - Applied Engineering Technology, Goodwin College of Professional Studies, 3001 Market St. Suite 100, Drexel University, Philadelphia, PA 19104, USA
- Publication Details
- Robotics and computer-integrated manufacturing, v 25(3), pp 552-559
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Engineering Technology
- Web of Science ID
- WOS:000265165200008
- Scopus ID
- 2-s2.0-61349092950
- Other Identifier
- 991014877756004721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Engineering, Manufacturing
- Robotics