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Classification process is then followed to predict the fault category.
Through the laboratory experiments, we obtained 12 signal samples for every fault category, each of them having 1-s duration and 7,680 number of samples.
Next, recognition and diagnosis can be solved by the simple SRC without additional classifier, exploiting the sparse nature that the key entries in sparse representation vector are assigned to the corresponding fault category for a test sample.
Another reason comes from analyzing RCPs from 9 to 12, where it is observed that the Normal (and in many cases Unknown) category achieves similar levels to a certain fault category.
In the proposed method, P-SVDD can detect the unknown fault sample by particle swarm optimization (PSO) parameter optimization while P-KFCM is used in known sample category recognition and its modified partition coefficient (MPC) cluster validity is used in unknown fault category search.
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Besides, Table 3 illustrates the scenario of individual classification accuracy for the different fault categories.
Overall, the taxonomy has shown to be complete in terms of fault categories.
Based on these criteria each tool was evaluated against six fault categories: data faults, control faults, interface faults, measurement faults, duplicated code, and code convention violations.
Note that an excessively high value might lead to wrong associations between the RCPs and the fault categories.
Automatic and accurate identification of rolling bearing fault categories, especially for the fault severities and compound faults, is a challenge in rotating machinery fault diagnosis.
Automatic and accurate identification of rolling bearings fault categories, especially for the fault severities and fault orientations, is still a major challenge in rotating machinery fault diagnosis.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com