Intelligent fault diagnosis of bevel gearboxes using semi-supervised probability support matrix machine and infrared imaging
被引:39
作者:
Li, Xin
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机构:
China Univ Min & Technol, Sch Mechatron Engn, Xuzhou 221116, Peoples R ChinaChina Univ Min & Technol, Sch Mechatron Engn, Xuzhou 221116, Peoples R China
Li, Xin
[1
]
Li, Yong
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h-index: 0
机构:
China Univ Min & Technol, Sch Mechatron Engn, Xuzhou 221116, Peoples R ChinaChina Univ Min & Technol, Sch Mechatron Engn, Xuzhou 221116, Peoples R China
Li, Yong
[1
]
Yan, Ke
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h-index: 0
机构:
Natl Univ Singapore, Coll Design & Engn, Dept Built Environm, 4 Architecture Dr, Singapore 117566, SingaporeChina Univ Min & Technol, Sch Mechatron Engn, Xuzhou 221116, Peoples R China
Yan, Ke
[2
]
Shao, Haidong
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机构:
Hunan Univ, Coll Mech & Vehicle Engn, Changsha 410082, Peoples R ChinaChina Univ Min & Technol, Sch Mechatron Engn, Xuzhou 221116, Peoples R China
Shao, Haidong
[3
]
Lin, Janet
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机构:
Lulea Univ Technol, Dept Civil Environm & Nat Resources Engn, S-97187 Lulea, Sweden
Malardalen Univ, Sch Innovat Design & Engn, S-63220 Eskilstuna, SwedenChina Univ Min & Technol, Sch Mechatron Engn, Xuzhou 221116, Peoples R China
Lin, Janet
[4
,5
]
机构:
[1] China Univ Min & Technol, Sch Mechatron Engn, Xuzhou 221116, Peoples R China
Intelligent fault diagnosis;
Support matrix machine;
Probability output strategy;
Semi-supervised learning;
Infrared imaging;
D O I:
10.1016/j.ress.2022.108921
中图分类号:
T [工业技术];
学科分类号:
08 ;
摘要:
Fault diagnosis is of great significance to ensure the reliability and safety of complex bevel gearbox systems. Most existing intelligent fault diagnosis approaches of bevel gearboxes are designed with vibration monitoring. However, the collected vibration data are vulnerable to noise pollution and machinery operating conditions. Besides, traditional fault diagnosis models highly rely on numerous labeled samples, and neglect the high cost of label annotation in real-world applications. Therefore, a novel fault diagnosis approach based on semi-supervised probability support matrix machine (SPSMM) and infrared imaging is proposed for bevel gearboxes in this paper, which has the following properties. Firstly, SPSMM classifies 2D matrix data directly without vectorization, thus fully utilizing the spatial information in infrared images. Secondly, a probability output strategy is designed for SPSMM to calculate the posterior class probability estimation of matrix inputs, and consequently enhance the diagnostic accuracy and robustness of the model. Thirdly, a semi-supervised learning (SSL) framework is pro-posed for SPSMM to carry out sample transfer from the unlabeled sample pool to the labeled sample pool, which can effectively alleviate the problem of insufficient labeled samples. The superiority of the proposed diagnosis approach is demonstrated with an infrared imaging dataset of a bevel gearbox.
机构:
Xi An Jiao Tong Univ, State Key Lab Mfg & Syst, Engn, Xian 710049, Peoples R ChinaXi An Jiao Tong Univ, State Key Lab Mfg & Syst, Engn, Xian 710049, Peoples R China
Feng, Yong
;
Chen, Jinglong
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机构:
Xi An Jiao Tong Univ, State Key Lab Mfg & Syst, Engn, Xian 710049, Peoples R ChinaXi An Jiao Tong Univ, State Key Lab Mfg & Syst, Engn, Xian 710049, Peoples R China
Chen, Jinglong
;
Zhang, Tianci
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h-index: 0
机构:
Xi An Jiao Tong Univ, State Key Lab Mfg & Syst, Engn, Xian 710049, Peoples R ChinaXi An Jiao Tong Univ, State Key Lab Mfg & Syst, Engn, Xian 710049, Peoples R China
Zhang, Tianci
;
He, Shuilong
论文数: 0引用数: 0
h-index: 0
机构:
Guilin Univ Elect Technol, Sch Mech & Elect Engn, Guilin 541004, Peoples R ChinaXi An Jiao Tong Univ, State Key Lab Mfg & Syst, Engn, Xian 710049, Peoples R China
He, Shuilong
;
Xu, Enyong
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h-index: 0
机构:
Huazhong Univ Sci & Technol, Sch Mech Sci & Engn, Wuhan 430074, Peoples R China
Dongfeng Liuzhou Motor Co Ltd, Liuzhou 545005, Peoples R ChinaXi An Jiao Tong Univ, State Key Lab Mfg & Syst, Engn, Xian 710049, Peoples R China
Xu, Enyong
;
Zhou, Zitong
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h-index: 0
机构:
Xi An Jiao Tong Univ, State Key Lab Mfg & Syst, Engn, Xian 710049, Peoples R ChinaXi An Jiao Tong Univ, State Key Lab Mfg & Syst, Engn, Xian 710049, Peoples R China
机构:
Xi An Jiao Tong Univ, State Key Lab Mfg & Syst, Engn, Xian 710049, Peoples R ChinaXi An Jiao Tong Univ, State Key Lab Mfg & Syst, Engn, Xian 710049, Peoples R China
Feng, Yong
;
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, Peoples R ChinaXi An Jiao Tong Univ, State Key Lab Mfg & Syst, Engn, Xian 710049, Peoples R China
Chen, Jinglong
;
Zhang, Tianci
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, Peoples R ChinaXi An Jiao Tong Univ, State Key Lab Mfg & Syst, Engn, Xian 710049, Peoples R China
Zhang, Tianci
;
He, Shuilong
论文数: 0引用数: 0
h-index: 0
机构:
Guilin Univ Elect Technol, Sch Mech & Elect Engn, Guilin 541004, Peoples R ChinaXi An Jiao Tong Univ, State Key Lab Mfg & Syst, Engn, Xian 710049, Peoples R China
He, Shuilong
;
Xu, Enyong
论文数: 0引用数: 0
h-index: 0
机构:
Huazhong Univ Sci & Technol, Sch Mech Sci & Engn, Wuhan 430074, Peoples R China
Dongfeng Liuzhou Motor Co Ltd, Liuzhou 545005, Peoples R ChinaXi An Jiao Tong Univ, State Key Lab Mfg & Syst, Engn, Xian 710049, Peoples R China
Xu, Enyong
;
Zhou, Zitong
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, Peoples R ChinaXi An Jiao Tong Univ, State Key Lab Mfg & Syst, Engn, Xian 710049, Peoples R China