共 42 条
Fault diagnosis of flywheel bearing based on parameter optimization variational mode decomposition energy entropy and deep learning
被引:132
作者:

He, Deqiang
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Guangxi Univ, Coll Mech Engn, Guangxi Key Lab Mfg Syst & Adv Mfg Technol, Nanning 530004, Peoples R China Guangxi Univ, Coll Mech Engn, Guangxi Key Lab Mfg Syst & Adv Mfg Technol, Nanning 530004, Peoples R China

Liu, Chenyu
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Guangxi Univ, Coll Mech Engn, Guangxi Key Lab Mfg Syst & Adv Mfg Technol, Nanning 530004, Peoples R China Guangxi Univ, Coll Mech Engn, Guangxi Key Lab Mfg Syst & Adv Mfg Technol, Nanning 530004, Peoples R China

Jin, Zhenzhen
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机构:
Guangxi Univ, Coll Mech Engn, Guangxi Key Lab Mfg Syst & Adv Mfg Technol, Nanning 530004, Peoples R China Guangxi Univ, Coll Mech Engn, Guangxi Key Lab Mfg Syst & Adv Mfg Technol, Nanning 530004, Peoples R China

Ma, Rui
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机构:
Guangxi Univ, Coll Mech Engn, Guangxi Key Lab Mfg Syst & Adv Mfg Technol, Nanning 530004, Peoples R China Guangxi Univ, Coll Mech Engn, Guangxi Key Lab Mfg Syst & Adv Mfg Technol, Nanning 530004, Peoples R China

Chen, Yanjun
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机构:
Guangxi Univ, Coll Mech Engn, Guangxi Key Lab Mfg Syst & Adv Mfg Technol, Nanning 530004, Peoples R China Guangxi Univ, Coll Mech Engn, Guangxi Key Lab Mfg Syst & Adv Mfg Technol, Nanning 530004, Peoples R China

Shan, Sheng
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机构:
Zhuzhou CRRC Times Elect Co Ltd, Zhuzhou 412001, Peoples R China Guangxi Univ, Coll Mech Engn, Guangxi Key Lab Mfg Syst & Adv Mfg Technol, Nanning 530004, Peoples R China
机构:
[1] Guangxi Univ, Coll Mech Engn, Guangxi Key Lab Mfg Syst & Adv Mfg Technol, Nanning 530004, Peoples R China
[2] Zhuzhou CRRC Times Elect Co Ltd, Zhuzhou 412001, Peoples R China
来源:
关键词:
Energy recovery;
Flywheel energy storage system;
Fault diagnosis;
Inverted residual neural network;
WIND TURBINES;
SELECTION;
BRAKING;
D O I:
10.1016/j.energy.2021.122108
中图分类号:
O414.1 [热力学];
学科分类号:
摘要:
Flywheel energy storage system is widely used in train braking energy recovery, and has achieved excellent energy-saving effect. As a key component of the flywheel energy storage system, the health of the bearing is greatly significant to realize the effective recovery of train braking energy. The vibration signal of the bearing presents complex nonlinear and non-stationary characteristics, which makes it difficult to diagnose the fault of the bearing. To solve this problem, a fault diagnosis method for bearing of flywheel energy storage system based on parameter optimization Variational Mode Decomposition (VMD) energy entropy is proposed. Firstly, the improved Sparrow Search Algorithm is used to optimize VMD parameters with the dispersion entropy as the fitness value. Then, the original signal is decomposed into a series of intrinsic mode components by using the optimized VMD algorithm, and the energy entropy of each component is calculated to construct the feature vector. Finally, an Inverted Residual Convolutional Neural Network (IRCNN) is used as feature vector input model for fault diagnosis. The experimental results show that the proposed method can effectively extract the bearing fault characteristics and realize accurate fault diagnosis, and the recognition rate reaches 97.5%, which is better than the comparison method. (c) 2021 Elsevier Ltd. All rights reserved.
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相关论文
共 42 条
[1]
Identification of electromechanical oscillatory modes based on variational mode decomposition
[J].
Arrieta Paternina, Mario R.
;
Tripathy, Rajesh Kumar
;
Zamora-Mendez, Alejandro
;
Dotta, Daniel
.
ELECTRIC POWER SYSTEMS RESEARCH,
2019, 167
:71-85

Arrieta Paternina, Mario R.
论文数: 0 引用数: 0
h-index: 0
机构:
Natl Autonomous Univ Mexico UNAM, Mexico City 04510, DF, Mexico Natl Autonomous Univ Mexico UNAM, Mexico City 04510, DF, Mexico

Tripathy, Rajesh Kumar
论文数: 0 引用数: 0
h-index: 0
机构:
Birla Inst Technol & Sci BITS Pilani, Hyderabad 500078, India Natl Autonomous Univ Mexico UNAM, Mexico City 04510, DF, Mexico

Zamora-Mendez, Alejandro
论文数: 0 引用数: 0
h-index: 0
机构:
Michoacan Univ St Nicholas Hidalgo UMSNH, Morelia 58030, Mich, Mexico Natl Autonomous Univ Mexico UNAM, Mexico City 04510, DF, Mexico

Dotta, Daniel
论文数: 0 引用数: 0
h-index: 0
机构:
Univ Estadual Campinas, BR-13083852 Campinas, SP, Brazil Natl Autonomous Univ Mexico UNAM, Mexico City 04510, DF, Mexico
[2]
Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals
[J].
Ben Ali, Jaouher
;
Fnaiech, Nader
;
Saidi, Lotfi
;
Chebel-Morello, Brigitte
;
Fnaiech, Farhat
.
APPLIED ACOUSTICS,
2015, 89
:16-27

Ben Ali, Jaouher
论文数: 0 引用数: 0
h-index: 0
机构:
Univ Tunis, Natl Higher Sch Engn Tunis, Lab Signal Image & Energy Mastery SIME, Tunis 1008, Tunisia
FEMTO ST Inst, Automat Controls & Micromechatron Syst Dept, F-25000 Besancon, France Univ Tunis, Natl Higher Sch Engn Tunis, Lab Signal Image & Energy Mastery SIME, Tunis 1008, Tunisia

Fnaiech, Nader
论文数: 0 引用数: 0
h-index: 0
机构:
Univ Tunis, Natl Higher Sch Engn Tunis, Lab Signal Image & Energy Mastery SIME, Tunis 1008, Tunisia Univ Tunis, Natl Higher Sch Engn Tunis, Lab Signal Image & Energy Mastery SIME, Tunis 1008, Tunisia

Saidi, Lotfi
论文数: 0 引用数: 0
h-index: 0
机构:
Univ Tunis, Natl Higher Sch Engn Tunis, Lab Signal Image & Energy Mastery SIME, Tunis 1008, Tunisia Univ Tunis, Natl Higher Sch Engn Tunis, Lab Signal Image & Energy Mastery SIME, Tunis 1008, Tunisia

Chebel-Morello, Brigitte
论文数: 0 引用数: 0
h-index: 0
机构:
FEMTO ST Inst, Automat Controls & Micromechatron Syst Dept, F-25000 Besancon, France Univ Tunis, Natl Higher Sch Engn Tunis, Lab Signal Image & Energy Mastery SIME, Tunis 1008, Tunisia

Fnaiech, Farhat
论文数: 0 引用数: 0
h-index: 0
机构:
Univ Tunis, Natl Higher Sch Engn Tunis, Lab Signal Image & Energy Mastery SIME, Tunis 1008, Tunisia Univ Tunis, Natl Higher Sch Engn Tunis, Lab Signal Image & Energy Mastery SIME, Tunis 1008, Tunisia
[3]
Early fault detection and diagnosis in bearings for more efficient operation of rotating machinery
[J].
Brkovic, Aleksandar
;
Gajic, Dragoljub
;
Gligorijevic, Jovan
;
Savic-Gajic, Ivana
;
Georgieva, Olga
;
Di Gennaro, Stefano
.
ENERGY,
2017, 136
:63-71

Brkovic, Aleksandar
论文数: 0 引用数: 0
h-index: 0
机构:
Univ Kragujevac, Fac Engn, Kragujevac, Serbia
Tetra Pak, Gornji Milanovac Packaging Mat Plant, Gornji Milanovac, Serbia Univ Kragujevac, Fac Engn, Kragujevac, Serbia

论文数: 引用数:
h-index:
机构:

Gligorijevic, Jovan
论文数: 0 引用数: 0
h-index: 0
机构:
Univ Kragujevac, Fac Engn, Kragujevac, Serbia
Tetra Pak, Gornji Milanovac Packaging Mat Plant, Gornji Milanovac, Serbia Univ Kragujevac, Fac Engn, Kragujevac, Serbia

Savic-Gajic, Ivana
论文数: 0 引用数: 0
h-index: 0
机构:
Univ Nis, Fac Technol, Nish, Serbia
Univ Aquila, Ctr Excellence DEWS, Laquila, Italy Univ Kragujevac, Fac Engn, Kragujevac, Serbia

Georgieva, Olga
论文数: 0 引用数: 0
h-index: 0
机构:
Univ Sofia St Kl Ohridski, Fac Math & Informat, Sofia, Bulgaria Univ Kragujevac, Fac Engn, Kragujevac, Serbia

Di Gennaro, Stefano
论文数: 0 引用数: 0
h-index: 0
机构:
Univ Aquila, Ctr Excellence DEWS, Laquila, Italy Univ Kragujevac, Fac Engn, Kragujevac, Serbia
[4]
Fault Diagnosis of Train Plug Door Based on a Hybrid Criterion for IMFs Selection and Fractional Wavelet Package Energy Entropy
[J].
Cao, Yuan
;
Sun, Yongkui
;
Xie, Guo
;
Wen, Tao
.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,
2019, 68 (08)
:7544-7551

Cao, Yuan
论文数: 0 引用数: 0
h-index: 0
机构:
Beijing Jiaotong Univ, Natl Engn Res Ctr Rail Transportat Operat & Contr, Beijing 100044, Peoples R China Beijing Jiaotong Univ, Natl Engn Res Ctr Rail Transportat Operat & Contr, Beijing 100044, Peoples R China

Sun, Yongkui
论文数: 0 引用数: 0
h-index: 0
机构:
Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China Beijing Jiaotong Univ, Natl Engn Res Ctr Rail Transportat Operat & Contr, Beijing 100044, Peoples R China

Xie, Guo
论文数: 0 引用数: 0
h-index: 0
机构:
Xian Univ Technol, Shaanxi Key Lab Complex Syst Control & Intelligen, Xian 710048, Shaanxi, Peoples R China Beijing Jiaotong Univ, Natl Engn Res Ctr Rail Transportat Operat & Contr, Beijing 100044, Peoples R China

Wen, Tao
论文数: 0 引用数: 0
h-index: 0
机构:
Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China Beijing Jiaotong Univ, Natl Engn Res Ctr Rail Transportat Operat & Contr, Beijing 100044, Peoples R China
[5]
Research on dynamic nonlinear input prediction of fault diagnosis based on fractional differential operator equation in high-speed train control system
[J].
Cao, Yuan
;
Zhang, Yuzhuo
;
Wen, Tao
;
Li, Peng
.
CHAOS,
2019, 29 (01)

Cao, Yuan
论文数: 0 引用数: 0
h-index: 0
机构:
Beijing Jiaotong Univ, Natl Engn Res Ctr Rail Traff Control Syst, Beijing 100044, Peoples R China
Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China Beijing Jiaotong Univ, Natl Engn Res Ctr Rail Traff Control Syst, Beijing 100044, Peoples R China

Zhang, Yuzhuo
论文数: 0 引用数: 0
h-index: 0
机构:
Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China Beijing Jiaotong Univ, Natl Engn Res Ctr Rail Traff Control Syst, Beijing 100044, Peoples R China

Wen, Tao
论文数: 0 引用数: 0
h-index: 0
机构:
Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China Beijing Jiaotong Univ, Natl Engn Res Ctr Rail Traff Control Syst, Beijing 100044, Peoples R China

Li, Peng
论文数: 0 引用数: 0
h-index: 0
机构:
Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China Beijing Jiaotong Univ, Natl Engn Res Ctr Rail Traff Control Syst, Beijing 100044, Peoples R China
[6]
Application of a new EWT-based denoising technique in bearing fault diagnosis
[J].
Chegini, Saeed Nezamivand
;
Bagheri, Ahmad
;
Najafi, Farid
.
MEASUREMENT,
2019, 144
:275-297

Chegini, Saeed Nezamivand
论文数: 0 引用数: 0
h-index: 0
机构:
Univ Guilan, Fac Mech Engn, Rasht, Iran Univ Guilan, Fac Mech Engn, Rasht, Iran

Bagheri, Ahmad
论文数: 0 引用数: 0
h-index: 0
机构:
Univ Guilan, Fac Mech Engn, Rasht, Iran Univ Guilan, Fac Mech Engn, Rasht, Iran

Najafi, Farid
论文数: 0 引用数: 0
h-index: 0
机构:
Univ Guilan, Fac Mech Engn, Rasht, Iran Univ Guilan, Fac Mech Engn, Rasht, Iran
[7]
Generator bearing fault diagnosis for wind turbine via empirical wavelet transform using measured vibration signals
[J].
Chen, Jinglong
;
Pan, Jun
;
Li, Zipeng
;
Zi, Yanyang
;
Chen, Xuefeng
.
RENEWABLE ENERGY,
2016, 89
:80-92

Chen, Jinglong
论文数: 0 引用数: 0
h-index: 0
机构:
Xi An Jiao Tong Univ, State Key Lab Mfg & Syst Engn, Xian 710049, Shaanxi, Peoples R China Xi An Jiao Tong Univ, State Key Lab Mfg & Syst Engn, Xian 710049, Shaanxi, Peoples R China

Pan, Jun
论文数: 0 引用数: 0
h-index: 0
机构:
Xi An Jiao Tong Univ, State Key Lab Mfg & Syst Engn, Xian 710049, Shaanxi, Peoples R China Xi An Jiao Tong Univ, State Key Lab Mfg & Syst Engn, Xian 710049, Shaanxi, Peoples R China

Li, Zipeng
论文数: 0 引用数: 0
h-index: 0
机构:
Xi An Jiao Tong Univ, State Key Lab Mfg & Syst Engn, Xian 710049, Shaanxi, Peoples R China Xi An Jiao Tong Univ, State Key Lab Mfg & Syst Engn, Xian 710049, Shaanxi, Peoples R China

Zi, Yanyang
论文数: 0 引用数: 0
h-index: 0
机构:
Xi An Jiao Tong Univ, State Key Lab Mfg & Syst Engn, Xian 710049, Shaanxi, Peoples R China Xi An Jiao Tong Univ, State Key Lab Mfg & Syst Engn, Xian 710049, Shaanxi, Peoples R China

Chen, Xuefeng
论文数: 0 引用数: 0
h-index: 0
机构:
Xi An Jiao Tong Univ, State Key Lab Mfg & Syst Engn, Xian 710049, Shaanxi, Peoples R China Xi An Jiao Tong Univ, State Key Lab Mfg & Syst Engn, Xian 710049, Shaanxi, Peoples R China
[8]
Fault feature extraction and diagnosis of rolling bearings based on wavelet thresholding denoising with CEEMDAN energy entropy and PSO-LSSVM
[J].
Chen, Wuge
;
Li, Junning
;
Wang, Qian
;
Han, Ka
.
MEASUREMENT,
2021, 172

Chen, Wuge
论文数: 0 引用数: 0
h-index: 0
机构:
Xian Technol Univ, Sch Mechatron Engn, Xian 710021, Peoples R China Xian Technol Univ, Sch Mechatron Engn, Xian 710021, Peoples R China

Li, Junning
论文数: 0 引用数: 0
h-index: 0
机构:
Xian Technol Univ, Sch Mechatron Engn, Xian 710021, Peoples R China Xian Technol Univ, Sch Mechatron Engn, Xian 710021, Peoples R China

Wang, Qian
论文数: 0 引用数: 0
h-index: 0
机构:
Xian Technol Univ, Sch Mechatron Engn, Xian 710021, Peoples R China Xian Technol Univ, Sch Mechatron Engn, Xian 710021, Peoples R China

Han, Ka
论文数: 0 引用数: 0
h-index: 0
机构:
Xian Technol Univ, Sch Mechatron Engn, Xian 710021, Peoples R China Xian Technol Univ, Sch Mechatron Engn, Xian 710021, Peoples R China
[9]
Vibration fault diagnosis of wind turbines based on variational mode decomposition and energy entropy
[J].
Chen, Xuejun
;
Yang, Yongming
;
Cui, Zhixin
;
Shen, Jun
.
ENERGY,
2019, 174
:1100-1109

Chen, Xuejun
论文数: 0 引用数: 0
h-index: 0
机构:
Putian Univ, Dept Mech & Elect Engn, Putian 351100, Peoples R China
Fuzhou Univ, Sch Mech Engn & Automat, Fuzhou 350108, Fujian, Peoples R China Putian Univ, Dept Mech & Elect Engn, Putian 351100, Peoples R China

Yang, Yongming
论文数: 0 引用数: 0
h-index: 0
机构:
Chongqing Univ, State Key Lab Power Transmiss Equipment & Syst Se, Chongqing 400044, Peoples R China Putian Univ, Dept Mech & Elect Engn, Putian 351100, Peoples R China

Cui, Zhixin
论文数: 0 引用数: 0
h-index: 0
机构:
Fuzhou Univ, Sch Mech Engn & Automat, Fuzhou 350108, Fujian, Peoples R China Putian Univ, Dept Mech & Elect Engn, Putian 351100, Peoples R China

Shen, Jun
论文数: 0 引用数: 0
h-index: 0
机构:
Fuzhou Univ, Sch Mech Engn & Automat, Fuzhou 350108, Fujian, Peoples R China Putian Univ, Dept Mech & Elect Engn, Putian 351100, Peoples R China
[10]
Recognition and Classification of Incipient Cable Failures Based on Variational Mode Decomposition and a Convolutional Neural Network
[J].
Deng, Jiaying
;
Zhang, Wenhai
;
Yang, Xiaomei
.
ENERGIES,
2019, 12 (10)

Deng, Jiaying
论文数: 0 引用数: 0
h-index: 0
机构:
Sichuan Univ, Coll Elect Engn & Informat Technol, Chengdu 610065, Sichuan, Peoples R China Sichuan Univ, Coll Elect Engn & Informat Technol, Chengdu 610065, Sichuan, Peoples R China

Zhang, Wenhai
论文数: 0 引用数: 0
h-index: 0
机构:
Sichuan Univ, Coll Elect Engn & Informat Technol, Chengdu 610065, Sichuan, Peoples R China Sichuan Univ, Coll Elect Engn & Informat Technol, Chengdu 610065, Sichuan, Peoples R China

Yang, Xiaomei
论文数: 0 引用数: 0
h-index: 0
机构:
Sichuan Univ, Coll Elect Engn & Informat Technol, Chengdu 610065, Sichuan, Peoples R China Sichuan Univ, Coll Elect Engn & Informat Technol, Chengdu 610065, Sichuan, Peoples R China