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Off-line error prediction, diagnosis and recovery using virtual assembly systems
2004
Journal of Intelligent Manufacturing
Automated assembly systems often stop their operation due to the unexpected failures occurred during their assembly process. Since these large-scale systems are composed of many parameters, it is difficult to anticipate all possible types of errors with their likelihood of occurrence. Several systems were developed in the literature, focusing on on-line diagnosing and recovering the assembly process in an intelligent manner based on the predicted error scenarios. However, these systems do not
doi:10.1023/b:jims.0000037716.69868.d0
fatcat:cu4lqazjhvbhvphp35ledzf54y