Hat the PAVME strategy is successful in bearing fault feature extraction.
Hat the PAVME system is productive in bearing fault feature extraction.n(t) x two(t)three 2 Amplitude 1 0 -1 0.1 0.2 0.three Time (s) 0.four 0.five The extracted mode components The true mode components3 2 Amplitude 1 0 -1 -2 0 0.1 0.2 0.three Time (s) 0.four The extracted mode elements The actual mode components2021, 23, x FOR PEER Overview -210 of 30 0.(a)3 two Amplitude 1 0 -1 -2 0 0.1 0.two 0.three Time (s) 0.4 0.5 The extracted mode elements The true mode components(b)4 The extracted mode components The genuine mode components2 Amplitude 0 -2 0 0.0.two 0.3 Time (s)0.0.(c)(d)Figure 4. The periodic mode components extracted by distinct solutions: (a) PAVME, (b) VME, (c) Figure four. The periodic mode components extracted by distinct solutions: (a) PAVME, (b) VME, (c) VMD and (d) EMD. VMD and (d) EMD.Table 1. The evaluation indexes obtained by distinct strategies. Table 1. The evaluation indexes obtained by diverse strategies. Correlation Coefficient RMSE Running Time (s) Correlation RMSE Running Time (s) 6.6552 5.7742 0.7966 0.2684 Coefficient VME 4.9841 0.7314 0.3130 0.1682 PAVME five.7742 0.7966 0.2684 six.6552 VMD five.1330 0.7630 0.2916 99.528 VME four.9841 0.7314 0.3130 0.1682 EMD two.4602 0.4023 0.8139 0.3704 VMD five.1330 0.7630 0.2916 99.528 EMD 3. Multiscale Envelope Dispersion C2 Ceramide In Vivo entropy 0.8139 2.4602 0.4023 0.3704 3.1. MEDE 3. Multiscale Envelope Dispersion Entropy Around the one particular hand, envelope demodulation evaluation of bearing vibration signals is an 3.1. MEDE effective strategy in extracting bearing fault feature information. The extracted envelope On the 1 hand, envelope demodulation analysis of periodic impulse related tois an signal can nicely reflect the qualities of bearing vibration signals bearing regional faults. efficient approach in extracting bearing fault has been MCC950 Technical Information proved to become anextracted envelopeto describe the On the other hand, entropy function info. The productive method complexity and uncertainty of periodic impulse associated to studies [32,38] signal can nicely reflect the characteristicsof bearing vibration signal. Somebearing local have shown that hand, entropy has been proved to be an effective method to describe faults. Around the othermultiscale dispersion entropy (MDE) has the superior overall performance for measuring the the complexitycomplexity of a signal than MPE and MSE. MDE has astudies [32,38] have and uncertainty of bearing vibration signal. Some quicker calculation efficiency. Therefore, this paper proposes entropy (MDE) has the superior efficiency for shown that multiscale dispersion a brand new complexity evaluation method named multiscale envelope measuring the dispersion entropy (MEDE) MPE and MSE. the benefits ofcalculation demodulation complexity of a signal than by integrating MDE features a more quickly envelope evaluation paper proposes 5 new complexity evaluation method named efficiency. Therefore, this and MDE. Figure a shows the flowchart with the MEDE technique, where m signifies multiscale envelope dispersion entropy (MEDE) by integrating the positive aspects of envelope demodulation evaluation and MDE. Figure 5 shows the flowchart from the MEDE technique, where m indicates the defined largest scale factor. For a offered time series Different Methods KurtosisDifferent MethodsKurtosis PAVMEx(i), i =1,2,, N, the particular actions of MEDE are summarized as follows:MEDE(x, m, c, d , ) =1 DE ( yk m, c, d ) k =(20)Entropy 2021, 23,where m denotes the embedding dimension, c signifies the number of classes, d could be the time ten of 28 delay, represents the scale aspect and DE denotes the operator of dispersion entropy.
