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The obtained hybrid fingerprints are used as an input for the selected machine learning methods (e.g. SVM, RF, J48, Naïve Bayes) implemented in WEKA software [4].
The first part MA is a vector ({V}_{1}) with a length L equal to the total number of operation, where each index represents the selected machine to process an operation indicated at position p, see Fig. 3a.
end{aligned} (2 The used priority-based decoding method allows in each case to assign each operation to its reserved machine following the presented execution order of the operation sequence vector ({V}_{2}.) Therefore, to schedule an operation ({O}_{i,j}) on a machine m, the fixed idle time intervals of the selected machine are verified to find an allowed available period to its execution.
On the selected machine install the Ubuntu Server.
For example (p=2,) ({V}_{1}(2)) is the selected machine ({M}_{4}) for the operation ({O}_{1,2}.) The second part OS is a vector ({V}_{2}) having the same length of ({V}_{1},) where each index represents an operation ({O}_{i,j}) according to the predefined operations of the job set, see Fig. 3b.
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The selected machining parameters were cutting speed (Vc), feed rate (f) and depth of cut (ap).
Further principal component analysis is applied to calculate the weighting values corresponding to the selected machining characteristic indexes in order to determine their relative importance during the process.
The 0 1 integer programming model is developed to select machines, assign operations of part types to the selected machines, and assign material handling equipment to transport the parts from machine to machine, as well as to handle the part at a given machine.
Feature vectors from various real and artificial fingers are used as the training data for the selected machine-learning method.
The designed model enables failure prediction of the whole equipment, its particular parts and selected machine groups.
It is worth mentioning that the part operations processed by the randomly selected machines will be remained with them.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com