LI, Ying ;WANG, Jin Dong;ZHAO, Hai Yang;SONG, Mei Ping;OU, Ling Fei. Fault Diagnosis Method Based on Modified Multiscale Entropy and Global Distance Evaluation for the Valve Fault of a Reciprocating Compressor. Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 65, n.2, p. 123-135, february 2019. ISSN 0039-2480. Available at: <https://www.sv-jme.eu/article/fault-diagnosis-method-based-on-modified-multiscale-entropy-and-global-distance-evaluation-for-valve-fault-of-reciprocating-compressor/>. Date accessed: 20 dec. 2024. doi:http://dx.doi.org/10.5545/sv-jme.2018.5487.
Li, Y., Wang, J., Zhao, H., Song, M., & Ou, L. (2019). Fault Diagnosis Method Based on Modified Multiscale Entropy and Global Distance Evaluation for the Valve Fault of a Reciprocating Compressor. Strojniški vestnik - Journal of Mechanical Engineering, 65(2), 123-135. doi:http://dx.doi.org/10.5545/sv-jme.2018.5487
@article{sv-jmesv-jme.2018.5487,
author = {Ying Li and Jin Dong Wang and Hai Yang Zhao and Mei Ping Song and Ling Fei Ou},
title = {Fault Diagnosis Method Based on Modified Multiscale Entropy and Global Distance Evaluation for the Valve Fault of a Reciprocating Compressor},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {65},
number = {2},
year = {2019},
keywords = {fault diagnosis; reciprocating compressor valve; modified multiscale entropy (MMSE); global distance evaluation (GDE); binary tree of support vector machine (BTSVM)},
abstract = {According to the nonlinearity, non-stationarity and multi-component coupling characteristics of reciprocating compressor vibration signals, a fault diagnosis method of a reciprocating compressor valve based on modified multiscale entropy (MMSE) and global distance evaluation (GDE) is proposed. First, the variational mode decomposition (VMD) method with superior anti-interference performance was utilized to analyse the strong non-stationarity vibration signals for all fault states. The modified multiscale entropy (MMSE) method provided for movingaverage procedures by replacing mean-average coarse-grained procedures was developed for the vibration signals after de-noising, and then the GDE method of overall parameter selection was introduced to evaluate the extracted MMSE and to select the optimal sensitivity scale feature. Finally, a binary tree of support vector machine (BTSVM) was selected as the classifier to identify the reciprocating compressor valve fault type. By analysing the experimental data, it can be shown that the method can effectively identify the fault type of the reciprocating compressor valve.},
issn = {0039-2480}, pages = {123-135}, doi = {10.5545/sv-jme.2018.5487},
url = {https://www.sv-jme.eu/article/fault-diagnosis-method-based-on-modified-multiscale-entropy-and-global-distance-evaluation-for-valve-fault-of-reciprocating-compressor/}
}
Li, Y.,Wang, J.,Zhao, H.,Song, M.,Ou, L. 2019 February 65. Fault Diagnosis Method Based on Modified Multiscale Entropy and Global Distance Evaluation for the Valve Fault of a Reciprocating Compressor. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 65:2
%A Li, Ying %A Wang, Jin Dong %A Zhao, Hai Yang %A Song, Mei Ping %A Ou, Ling Fei %D 2019 %T Fault Diagnosis Method Based on Modified Multiscale Entropy and Global Distance Evaluation for the Valve Fault of a Reciprocating Compressor %B 2019 %9 fault diagnosis; reciprocating compressor valve; modified multiscale entropy (MMSE); global distance evaluation (GDE); binary tree of support vector machine (BTSVM) %! Fault Diagnosis Method Based on Modified Multiscale Entropy and Global Distance Evaluation for the Valve Fault of a Reciprocating Compressor %K fault diagnosis; reciprocating compressor valve; modified multiscale entropy (MMSE); global distance evaluation (GDE); binary tree of support vector machine (BTSVM) %X According to the nonlinearity, non-stationarity and multi-component coupling characteristics of reciprocating compressor vibration signals, a fault diagnosis method of a reciprocating compressor valve based on modified multiscale entropy (MMSE) and global distance evaluation (GDE) is proposed. First, the variational mode decomposition (VMD) method with superior anti-interference performance was utilized to analyse the strong non-stationarity vibration signals for all fault states. The modified multiscale entropy (MMSE) method provided for movingaverage procedures by replacing mean-average coarse-grained procedures was developed for the vibration signals after de-noising, and then the GDE method of overall parameter selection was introduced to evaluate the extracted MMSE and to select the optimal sensitivity scale feature. Finally, a binary tree of support vector machine (BTSVM) was selected as the classifier to identify the reciprocating compressor valve fault type. By analysing the experimental data, it can be shown that the method can effectively identify the fault type of the reciprocating compressor valve. %U https://www.sv-jme.eu/article/fault-diagnosis-method-based-on-modified-multiscale-entropy-and-global-distance-evaluation-for-valve-fault-of-reciprocating-compressor/ %0 Journal Article %R 10.5545/sv-jme.2018.5487 %& 123 %P 13 %J Strojniški vestnik - Journal of Mechanical Engineering %V 65 %N 2 %@ 0039-2480 %8 2019-02-17 %7 2019-02-17
Li, Ying, Jin Dong Wang, Hai Yang Zhao, Mei Ping Song, & Ling Fei Ou. "Fault Diagnosis Method Based on Modified Multiscale Entropy and Global Distance Evaluation for the Valve Fault of a Reciprocating Compressor." Strojniški vestnik - Journal of Mechanical Engineering [Online], 65.2 (2019): 123-135. Web. 20 Dec. 2024
TY - JOUR AU - Li, Ying AU - Wang, Jin Dong AU - Zhao, Hai Yang AU - Song, Mei Ping AU - Ou, Ling Fei PY - 2019 TI - Fault Diagnosis Method Based on Modified Multiscale Entropy and Global Distance Evaluation for the Valve Fault of a Reciprocating Compressor JF - Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2018.5487 KW - fault diagnosis; reciprocating compressor valve; modified multiscale entropy (MMSE); global distance evaluation (GDE); binary tree of support vector machine (BTSVM) N2 - According to the nonlinearity, non-stationarity and multi-component coupling characteristics of reciprocating compressor vibration signals, a fault diagnosis method of a reciprocating compressor valve based on modified multiscale entropy (MMSE) and global distance evaluation (GDE) is proposed. First, the variational mode decomposition (VMD) method with superior anti-interference performance was utilized to analyse the strong non-stationarity vibration signals for all fault states. The modified multiscale entropy (MMSE) method provided for movingaverage procedures by replacing mean-average coarse-grained procedures was developed for the vibration signals after de-noising, and then the GDE method of overall parameter selection was introduced to evaluate the extracted MMSE and to select the optimal sensitivity scale feature. Finally, a binary tree of support vector machine (BTSVM) was selected as the classifier to identify the reciprocating compressor valve fault type. By analysing the experimental data, it can be shown that the method can effectively identify the fault type of the reciprocating compressor valve. UR - https://www.sv-jme.eu/article/fault-diagnosis-method-based-on-modified-multiscale-entropy-and-global-distance-evaluation-for-valve-fault-of-reciprocating-compressor/
@article{{sv-jme}{sv-jme.2018.5487},
author = {Li, Y., Wang, J., Zhao, H., Song, M., Ou, L.},
title = {Fault Diagnosis Method Based on Modified Multiscale Entropy and Global Distance Evaluation for the Valve Fault of a Reciprocating Compressor},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {65},
number = {2},
year = {2019},
doi = {10.5545/sv-jme.2018.5487},
url = {https://www.sv-jme.eu/article/fault-diagnosis-method-based-on-modified-multiscale-entropy-and-global-distance-evaluation-for-valve-fault-of-reciprocating-compressor/}
}
TY - JOUR AU - Li, Ying AU - Wang, Jin Dong AU - Zhao, Hai Yang AU - Song, Mei Ping AU - Ou, Ling Fei PY - 2019/02/17 TI - Fault Diagnosis Method Based on Modified Multiscale Entropy and Global Distance Evaluation for the Valve Fault of a Reciprocating Compressor JF - Strojniški vestnik - Journal of Mechanical Engineering; Vol 65, No 2 (2019): Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2018.5487 KW - fault diagnosis, reciprocating compressor valve, modified multiscale entropy (MMSE), global distance evaluation (GDE), binary tree of support vector machine (BTSVM) N2 - According to the nonlinearity, non-stationarity and multi-component coupling characteristics of reciprocating compressor vibration signals, a fault diagnosis method of a reciprocating compressor valve based on modified multiscale entropy (MMSE) and global distance evaluation (GDE) is proposed. First, the variational mode decomposition (VMD) method with superior anti-interference performance was utilized to analyse the strong non-stationarity vibration signals for all fault states. The modified multiscale entropy (MMSE) method provided for movingaverage procedures by replacing mean-average coarse-grained procedures was developed for the vibration signals after de-noising, and then the GDE method of overall parameter selection was introduced to evaluate the extracted MMSE and to select the optimal sensitivity scale feature. Finally, a binary tree of support vector machine (BTSVM) was selected as the classifier to identify the reciprocating compressor valve fault type. By analysing the experimental data, it can be shown that the method can effectively identify the fault type of the reciprocating compressor valve. UR - https://www.sv-jme.eu/article/fault-diagnosis-method-based-on-modified-multiscale-entropy-and-global-distance-evaluation-for-valve-fault-of-reciprocating-compressor/
Li, Ying, Wang, Jin, Zhao, Hai, Song, Mei, AND Ou, Ling. "Fault Diagnosis Method Based on Modified Multiscale Entropy and Global Distance Evaluation for the Valve Fault of a Reciprocating Compressor" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 65 Number 2 (17 February 2019)
Strojniški vestnik - Journal of Mechanical Engineering 65(2019)2, 123-135
© The Authors, CC-BY 4.0 Int. Change in copyright policy from 2022, Jan 1st.
According to the nonlinearity, non-stationarity and multi-component coupling characteristics of reciprocating compressor vibration signals, a fault diagnosis method of a reciprocating compressor valve based on modified multiscale entropy (MMSE) and global distance evaluation (GDE) is proposed. First, the variational mode decomposition (VMD) method with superior anti-interference performance was utilized to analyse the strong non-stationarity vibration signals for all fault states. The modified multiscale entropy (MMSE) method provided for movingaverage procedures by replacing mean-average coarse-grained procedures was developed for the vibration signals after de-noising, and then the GDE method of overall parameter selection was introduced to evaluate the extracted MMSE and to select the optimal sensitivity scale feature. Finally, a binary tree of support vector machine (BTSVM) was selected as the classifier to identify the reciprocating compressor valve fault type. By analysing the experimental data, it can be shown that the method can effectively identify the fault type of the reciprocating compressor valve.