Artificial Intelligence
Artificial Intelligence
Fundamentals of expert systems
Annual review of computer science: vol. 3, 1988
A tutorial on hidden Markov models and selected applications in speech recognition
Readings in speech recognition
“Physical Negation”—integrating fault models into the General Diagnostic Engine
Readings in model-based diagnosis
Neural networks: applications in industry, business and science
Communications of the ACM
A qualitative physics compiler
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
Agent theories, architectures, and languages: a survey
ECAI-94 Proceedings of the workshop on agent theories, architectures, and languages on Intelligent agents
Agile manufacturing: forging new frontiers
Agile manufacturing: forging new frontiers
An extension of QSIM with qualitative curvature
Artificial Intelligence
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
The agile virtual enterprise: cases, metrics, tools
The agile virtual enterprise: cases, metrics, tools
Learning and diagnosis in manufacturing processes through an executable Bayesian network
IEA/AIE '00 Proceedings of the 13th international conference on Industrial and engineering applications of artificial intelligence and expert systems: Intelligent problem solving: methodologies and approaches
A Distributed Learning Algorithm for Bayesian Inference Networks
IEEE Transactions on Knowledge and Data Engineering
A Concept for Bionic Manufacturing Systems Based on DNA-type Information
Proceedings of the IFIP TC5 / WG5.3 Eight International PROLAMAT Conference on Human Aspects in Computer Integrated Manufacturing
Automating Power System Fault Diagnosis through Multi-Agent System Technology
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 2 - Volume 2
Building reliable systems based on self-organizing multi-agent systems
Proceedings of the 2006 international workshop on Software engineering for large-scale multi-agent systems
SRDS '06 Proceedings of the 25th IEEE Symposium on Reliable Distributed Systems
A multiagent-based control system applied to an educational shop floor
Robotics and Computer-Integrated Manufacturing
Supporting agile supply chains using a service-oriented shop floor
Engineering Applications of Artificial Intelligence
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
A model-based approach to robot fault diagnosis
Knowledge-Based Systems
Robotics and Autonomous Systems
A model-based approach to reactive self-configuring systems
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Fault identification for robot manipulators
IEEE Transactions on Robotics
Paper: A survey of design methods for failure detection in dynamic systems
Automatica (Journal of IFAC)
Process fault detection based on modeling and estimation methods-A survey
Automatica (Journal of IFAC)
| Hi-index | 0.00 |
With the systematic implantation and acceptance of IT in the shop-floor a wide range of production paradigms, relying in open interoperable architectures, have been developed. Exploring these technological novelties, they promise to revolutionize the way current plant floors operate and react to emerging opportunities and disturbances. There is a high interest of module providers in the adoption of these open mechatronic architectures as they may provide a new business model where the automation solution can be easily tailored for each customer in due time and ships with a significant part of the control solution (high added value). Final customers on their side can contract operating hours rather than buying modules. Moreover, the automation solution can be swiftly modified to meet changing requirements. The necessary increase in the number of distributed and autonomous components that interact in the execution of processes implies that new diagnostic approaches should be developed to tackle the network layer of these highly dynamic systems. In fact fault propagation events can be harder to understand and can affect the system in unpredictable and pervasive ways. Following this rationale the paper presents a potential diagnostic solution that targets multiagent-based mechatronic systems where their components are highly decoupled from a control point of view. The diagnostic architecture presented tackles the problem of fault propagation while preserving the decoupled nature of the Mechatronic Agent concept. In this context the diagnostic system explores self-organization to enact an emergent response that denotes macro-level coherence. The system's response is the result of an individual probabilistic diagnostic inference based on Hidden Markov Models that capture the propagating nature of a failure. The validation results of the proposed diagnostic approach are detailed for the system's response in simulation (highlighting the main variables that affect the performance of the system) and compared to the system applied to a pilot assembly cell. The simulation model and the performance metrics considered are detailed and discussed along with the main implementation details.