Table 2. Open in new tab Results of... | Oxford Academic

Table 2.

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Results of feature frequency calculation and local spectral kurtosis results with different signal processing methods under 2,500 RPM operating conditions.

Serial number	Characteristic frequency	Characteristic frequency value	Local spectral kurtosis
Serial number	Characteristic frequency	Characteristic frequency value	logFFT	Power spectrum	Comb filtering	The proposed method
1	f_i − 2f_e − 3f_r	136.2	1.97	2.48	3.40	4.27
2	f_i − 2f_e − 2f_r	176.8	2.23	2.63	3.54	4.85
3	f_i − 2f_e − f_r	219.4	2.33	3.16	3.37	1.48
4	f_i − f_e − 2f_r	261.0	1.18	1.70	2.12	4.93
5	f_i − f_e − f_r	302.0	1.76	2.65	2.79	5.00
6	f_i − 2f_e + 2f_r	344.1	2.93	3.03	3.79	5.02
7	f_i − f_e + f_r	388.8	3.26	3.57	3.63	4.97
8	f_i + f_e − 2f_r	428.9	1.96	2.11	2.39	2.07
9	f_i + f_e − f_r	469.2	2.89	3.42	3.44	4.98

Serial number	Characteristic frequency	Characteristic frequency value	Local spectral kurtosis
Serial number	Characteristic frequency	Characteristic frequency value	logFFT	Power spectrum	Comb filtering	The proposed method
1	f_i − 2f_e − 3f_r	136.2	1.97	2.48	3.40	4.27
2	f_i − 2f_e − 2f_r	176.8	2.23	2.63	3.54	4.85
3	f_i − 2f_e − f_r	219.4	2.33	3.16	3.37	1.48
4	f_i − f_e − 2f_r	261.0	1.18	1.70	2.12	4.93
5	f_i − f_e − f_r	302.0	1.76	2.65	2.79	5.00
6	f_i − 2f_e + 2f_r	344.1	2.93	3.03	3.79	5.02
7	f_i − f_e + f_r	388.8	3.26	3.57	3.63	4.97
8	f_i + f_e − 2f_r	428.9	1.96	2.11	2.39	2.07
9	f_i + f_e − f_r	469.2	2.89	3.42	3.44	4.98

Table 2.

Open in new tab

Results of feature frequency calculation and local spectral kurtosis results with different signal processing methods under 2,500 RPM operating conditions.

Serial number	Characteristic frequency	Characteristic frequency value	Local spectral kurtosis
Serial number	Characteristic frequency	Characteristic frequency value	logFFT	Power spectrum	Comb filtering	The proposed method
1	f_i − 2f_e − 3f_r	136.2	1.97	2.48	3.40	4.27
2	f_i − 2f_e − 2f_r	176.8	2.23	2.63	3.54	4.85
3	f_i − 2f_e − f_r	219.4	2.33	3.16	3.37	1.48
4	f_i − f_e − 2f_r	261.0	1.18	1.70	2.12	4.93
5	f_i − f_e − f_r	302.0	1.76	2.65	2.79	5.00
6	f_i − 2f_e + 2f_r	344.1	2.93	3.03	3.79	5.02
7	f_i − f_e + f_r	388.8	3.26	3.57	3.63	4.97
8	f_i + f_e − 2f_r	428.9	1.96	2.11	2.39	2.07
9	f_i + f_e − f_r	469.2	2.89	3.42	3.44	4.98

Serial number	Characteristic frequency	Characteristic frequency value	Local spectral kurtosis
Serial number	Characteristic frequency	Characteristic frequency value	logFFT	Power spectrum	Comb filtering	The proposed method
1	f_i − 2f_e − 3f_r	136.2	1.97	2.48	3.40	4.27
2	f_i − 2f_e − 2f_r	176.8	2.23	2.63	3.54	4.85
3	f_i − 2f_e − f_r	219.4	2.33	3.16	3.37	1.48
4	f_i − f_e − 2f_r	261.0	1.18	1.70	2.12	4.93
5	f_i − f_e − f_r	302.0	1.76	2.65	2.79	5.00
6	f_i − 2f_e + 2f_r	344.1	2.93	3.03	3.79	5.02
7	f_i − f_e + f_r	388.8	3.26	3.57	3.63	4.97
8	f_i + f_e − 2f_r	428.9	1.96	2.11	2.39	2.07
9	f_i + f_e − f_r	469.2	2.89	3.42	3.44	4.98