1,720,980 research outputs found
Neuro-Fuzzy Modeling for Fault Diagnosis in Rotating Machinery
No full textMalfunctions in machinery are often sources of reduced productivity and increased maintenance costs in various industrial applications. For this reason, machine condition monitoring has been developed to recognize incipient fault states. In this paper, the fault diagnostic problem is tackled within a neuro-fazzy approach to pattern classification. Besides the primary purpose of a high rate of correct classification, the proposed neuro-fuzzy approach aims at obtaining also a transparent classification model. To this aim, appropriate coverage and distinguishability constraints on the fuzzy input partitioning interface are used to achieve the physical interpretability of the membership functions and of the associated inference rules. The approach is applied to a case of motor bearing fault classification
Solutions for Plant-Wide On-Line Calibration Monitoring
No full textOn-line calibration monitoring evaluates the performance of instrument channels by assessing their mutual consistency and possibly their consistency with other plant measurements. Experience at several nuclear power plants has shown this overall approach to be very effective in identifying faulty instrument channels. Most applications to date have however been confined to the monitoring of a relatively small number of instrument channels. Even though these applications have demonstrated the calibration monitoring properties of the applied techniques, questions remain open on the scalability of the same techniques to large-scale applications, where by large-scale we mean plant-wide implementations involving several hundreds if not thousands of instrument channels. In this paper, we propose a number of prospective solutions grouped in two main categories: i) solutions to handle the calibration monitoring of a very large number of instrument channels and ii) solutions to handle the ensemble of models that might derive from the decomposition of the calibration monitoring task
Diagnosing faults in nuclear components by an ensemble of feature-diverse fuzzy classifiers
No full textSignal Grouping for Sensor Validation: A Multi-Objective Genetic Algorithm Approach
No full textHWR 852, OECD HALDEN REACTOR PROJECT REPOR
Genetic Algorithms for Signal Grouping in Sensor Validation: A Comparison of the Filter and Wrapper Approaches
No full textReconstruction of Faulty Signals by an Ensemble of Principal Component Analysis Models Optimized by a Multi-Objective Genetic Algorithm
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