Weighted Reconstruction and Improved Eigenclass Combination Method for the Detection of Bearing Faults

Table 1

Steps for eigenclass classification.

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Eigenclass algorithm

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Step 1: divide the data A into the matrix of the training set and the test set

Step 2: if

Step 3: for each class r, extract the r-class training matrix from

Step 4: for each i, obtain the eigenvalues of the test matrix and all the training matrices:

Step 5: calculate the quasi-distance between the training matrix and the test matrix by the following definition:

Step 6: construct a distance matrix and reorganize it in ascending order

Step 7: calculate the r-mean of each row to form a discriminant matrix as defined below:

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