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View of An Automated method for the analysis of bearing vibration based on spectrogram pattern matching

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Journal of Applied Research and Technology

www.jart.ccadet.unam.mx

Journal of Applied Research and Technology 17 (2019) 126-136

P. Arun a, *, S. Abraham Lincon b, N. Prabhakaran c

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xi(k)= ∑M-1l=0 w(l)x(l)e-j2πklM , 1≤i≤Q

Pi(k)

= 1

M−1k=0|w(k)|2|Xi(k)|2 (2)

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Pi(k) = 1

M−1k=0|w(k)|2|Xi(k)|2 (2)

S=

[

P0(0) P0(1) P0(2) ⋯⋯ P0(Q-1) P1(0) P1(1) P1(2) ⋯⋯ P1(Q-1) P2(0) P2(1) P2(2) ⋯⋯ P2(Q-1)

⋮ ⋮ ⋮ ⋯⋯ ⋮

PM-1(0) PM-1(1) PM-1(2) ⋯⋯ PM-1(Q-1)]

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SSIM(X,Y) = (2μxμy+C1) (2σxy+C2)

x2y 2+C1) (σx2y 2+C2) (4)

μ μ σ σ σ

the contextual vibration data and baseline spectrogram image is tested for their ability to distinguish healthy, IRF, ORF and RED via Kruskal-

SSIM(X,Y) = (2μxμy+C1) (2σxy+C2)

x2y 2+C1) (σx2y 2+C2) (4)

μ μ σ σ σ

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0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 -0.8

-0.6 -0.4 -0.2 0 0.2 0.4 0.6

Bearing Vibration Normal

Time

Amplitude

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

-2 -1.5 -1 -0.5 0 0.5 1 1.5 2

Bearing Vibration IRF

Time

Amplitude

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

-1 -0.8 -0.6 -0.4 -0.2 0 0.2 0.4 0.6 0.8

Bearing Vibration RED

Time

Amplitude

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

-4 -3 -2 -1 0 1 2 3

Bearing Vibration ORF

Time

Amplitude

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400 600 800 1000 1200 1400 1600 1800 2000 2200 2400 0

0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

Time Spectrogram of Healthy Bearing

Normalized Frequency ( rad/sample)

400 600 800 1000 1200 1400 1600 1800 2000 2200 2400

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

Time Spectrogram of Inner Race Fault

Normalized Frequency ( rad/sample)

400 600 800 1000 1200 1400 1600 1800 2000 2200 2400

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

Time Spectrogram of outer race fault

Normalized Frequency ( rad/sample)

400 600 800 1000 1200 1400 1600 1800 2000 2200 2400

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

Time Spectrogram of roller element defect

Normalized Frequency ( rad/sample)

400 600 800 1000 1200 1400 1600 1800 2000 2200 2400

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

Time

Normalized Frequency

( rad/sample)

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Sl No: Healthy IRF RED ORF 1 0.9997 0.9997 0.9974 0.9988 2 0.9997 0.9992 0.9973 0.9990 3 0.9997 0.9994 0.9975 0.9987 4 0.9997 0.9993 0.9973 0.9945 5 0.9996 0.9997 0.9977 0.9948 6 0.9996 0.9996 0.9974 0.9987 7 0.9997 0.9994 0.9980 0.9992 8 0.9997 0.9996 0.9983 0.9990 9 0.9997 0.9993 0.9988 0.9989 10 0.9996 0.9990 0.9987 0.9991 11 0.9997 0.9994 0.9989 0.9992 12 0.9997 0.9994 0.9992 0.9979 13 0.9997 0.9993 0.9990 0.9959 14 0.9997 0.9993 0.9987 0.9951 15 0.9997 0.9992 0.9985 0.9962 16 0.9997 0.9991 0.9988 0.9981 17 0.9997 0.9990 0.9989 0.9938 18 0.9996 0.9991 0.9985 0.9937 19 0.9997 0.9994 0.9983 0.9959 20 0.9996 0.9992 0.9979 0.9936 21 0.9997 0.9972 0.9975 0.9946 22 0.9997 0.9966 0.9970 0.9898 23 0.9997 0.9950 0.9974 0.9917 24 0.9997 0.9948 0.9972 0.9893 25 0.9997 0.9938 0.9972 0.9875 26 0.9997 0.9932 0.9972 0.9818 27 0.9997 0.9930 0.9970 0.9717 28 0.9996 0.9926 0.9963 0.9852 29 0.9996 0.9920 0.9957 0.9880 30 0.9996 0.9974 0.9927 0.9795

0.975 0.98 0.985 0.99 0.995 1

HEALTHY IRF RED ORF

Four Feature classes of bearing vibration data

SSIM of spectrogram co-efficients

Box Whisker Plot

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, MoASoS and selected classifiers, Measurement,

Sl No: Healthy IRF RED ORF 1 0.9960 0.9887 0.9954 0.9964 2 0.9985 0.9866 0.9946 0.9973 3 0.9986 0.9882 0.9951 0.9959 4 1.0000 0.9864 0.9953 0.9958

Source Sum of Squares (SS)

Degree of Freedom (DF)

Mean Square (MS)

Chi-Square value (H)

Probability value (p)

Columns 89438.1 3 29812.7 74.59 4.43693x10-16

Error 53251.4 116 459.1

Total 142689.5 119

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Referencias

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