Fault diagnosis and process monitoring through model-based case based reasoning

Agarawal , “ Fault Diagnosis of Three Phase Induction Motor using Fuzzy Logic Controller and Sequence Analyzer”, MIT International Journal of Electrical and

The starting point of this study is different: we estimate the true, ana- lytically intractable parameter distribution by MCMC from measured data, and study how the output of

Future research issues for CBR in the cloud will be investigated, including the semantic description and retrieval of cloud services, the case-based analysis of time series

Finally, we present our simulation study in which we vary the three main diffusion model parameters (drift rate, threshold separation, and non-decision time) si- multaneously

The comparison has showed that eBPMN enables business analysts to get the same performance predictions of similar BP simulation tools, with the additional advantages of not

A model of general domain knowledge would enable cases to be matched based on semantic rather than purely syntactic criteria.. Hence, a general domain model combined with CBR

The constructed model has several sources of non- determinism including the delay for sending alert messages in nodes, and the decision made by the sink to change from the

The serial combination is used, ei- ther for data-based diagnosis methods, in order to improve the classification accuracy, or for model-based diagnosis methods to make the