A Multimodel Decision Fusion Method Based on DCNN-IDST for Fault Diagnosis of Rolling Bearing

Figure 7

The output graph of principal component analysis (PCA) method. (a) Input data at a single rotation speed; (b) input data after data level fusion; (c) input data extracted by manual features; (d) adaptive feature learned through DCNN.

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