Case-based reasoning
Applying case-based reasoning: techniques for enterprise systems
Applying case-based reasoning: techniques for enterprise systems
Diagnosis and Decision Support
Case-Based Reasoning Technology, From Foundations to Applications
Lessons Learned from Diagnosing Dynamic Systems Using Possible Conflicts and Quantitative Models
Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
Case-based manufacturing process planning with integrated support for knowledge sharing
ISATP '95 Proceedings of the 1995 IEEE International Symposium on Assembly and Task Planning
Exact indexing of dynamic time warping
Knowledge and Information Systems
A comparison of two machine-learning techniques to focus the diagnosis task
Proceedings of the 2006 conference on STAIRS 2006: Proceedings of the Third Starting AI Researchers' Symposium
Possible conflicts: a compilation technique for consistency-based diagnosis
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A comparison of two machine-learning techniques to focus the diagnosis task
Proceedings of the 2006 conference on STAIRS 2006: Proceedings of the Third Starting AI Researchers' Symposium
A brief survey on sequence classification
ACM SIGKDD Explorations Newsletter
Early prediction on imbalanced multivariate time series
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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In this paper we introduce a system for early classification of several fault modes in a continuous process. Early fault classification is basic in supervision and diagnosis systems, since a fault could arise at any time, and the system must identify the fault as soon as possible. We present a computational framework to deal with the problem of early fault classification using Case-Based Reasoning. This work illustrates different techniques for case retrieval and reuse that have been applied at different times of fault evolution. The technique has been tested for a set of fourteen fault classes simulated in a laboratory plant.