diagnostics training Articles
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Intelligent normalisation for transient classification
A fundamental requirement on data to be used for the training of an empirical diagnostic model is that the data has to be sufficiently similar and consistent with what will be observed during on-line monitoring. In other words, the training data has to "cover" the data space within which the monitored process operates. The coverage requirement can quickly become a problem if the process to be ...
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