《Table 1 The real experimental platform parameters》

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《Diagnosis of multiple faults using a double parallel two-hidden-layer extreme learning machine》

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In this section，the performance of the DPT-ELM model，DP-ELM model，TELM model and BP model are evaluated using the experimental data，which are collected in the real rolling bearing experimental platform whose specific model number is NTN204（shown in Fig.3）.The data collected from CH7 in this study is used for fault diagnosis.To verify the effectiveness of the methods，six different rolling bearing states data（the inner-race fault，the outer fault，the rolling-element fault，the inner-race with rolling-element fault，the outer-race with rolling-element fault and the healthy data）of two sets of data with different speeds are used.The actual experimental platform parameters are listed in Table 1.In this paper，the data at relatively low speed and with relatively weak fault is chosen to test the methods.Here two groups of original data at speed of 500 r/min and 900 r/min（shown in Fig.4）are used to train and test the classification models.