Search Results - "Bai, Tangbo"

A Study on Railway Surface Defects Detection Based on Machine Vision by Bai, Tangbo, Gao, Jialin, Yang, Jianwei, Yao, Dechen

“…The detection of rail surface defects is an important tool to ensure the safe operation of rail transit. Due to the complex diversity of track surface defect…”
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Information Fusion of Infrared Images and Vibration Signals for Coupling Fault Diagnosis of Rotating Machinery by Bai, Tangbo, Yang, Jianwei, Yao, Dechen, Wang, Ying

“…Rotating machinery has a complicated structure and interaction of multiple components, which usually results in coupling faults with complex dynamic…”
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Crack Detection of Track Slab Based on RSG-YOLO by Bai, Tangbo, Lv, Baile, Wang, Ying, Gao, Jialin, Wang, Jian

“…The surface cracks on high-speed railway ballastless track slabs directly influence their lifespan, while the efficiency of damage detection and maintenance is…”
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Fault Diagnosis Method Research of Mechanical Equipment Based on Sensor Correlation Analysis and Deep Learning by Wang, Yanxue, Duan, Lixiang, Yang, Jianwei, Bai, Tangbo

“…Large-scale mechanical equipment monitoring involves various kinds and quantities of information, and the present research on multisensor information fusion…”
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A Tensor-Based Approach for Identification of Multi-Channel Bearing Compound Faults by Hu, Chaofan, Wang, Yanxue, Bai, Tangbo

“…Vibration signal analysis is one of the most effective approaches for detecting faults in bearings. A bearing compound-fault signal always consists of multiple…”
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Association Rule-Based Feature Mining for Automated Fault Diagnosis of Rolling Bearing by Qin, Guoliang, Wang, Xuduo, Bai, Tangbo, Duan, Lixiang, Wang, Jinjiang, Li, Yuan, Zhang, Yulong

“…Effective and efficient diagnosis methods are highly demanded to improve system reliability. Comparing with conventional fault diagnosis methods taking a…”
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Integrative intrinsic time-scale decomposition and hierarchical temporal memory approach to gearbox diagnosis under variable operating conditions by Duan, Lixiang, Yao, Mingchao, Wang, Jinjiang, Bai, Tangbo, Yue, Jingjing

“…Gearbox diagnosis under stationary operating conditions has been extensively investigated; however, variable operating conditions such as load and speed…”
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Coupling fault diagnosis of rotating machinery by information fusion by Tangbo Bai, Laibin Zhang, Lixiang Duan, Jinjiang Wang

“…Due to complicated structure and interaction of multiple components in rotating machinery, coupling faults have complex dynamic characteristics. Vibration…”
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A new support vector data description method for machinery fault diagnosis with unbalanced datasets by Duan, Lixiang, Xie, Mengyun, Bai, Tangbo, Wang, Jinjiang

“…•Binary Tree is integrated with Support Vector Data Description to address multi-classification issues with unbalanced datasets.•Separability measure based on…”
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An optimized railway fastener detection method based on modified Faster R-CNN by Bai, Tangbo, Yang, Jianwei, Xu, Guiyang, Yao, Dechen

“…•An optimized RPN network of Faster R-CNN model is proposed for fastener detection.•The optimization reduces invalid anchor box and improves efficiency and…”
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NSCT-Based Infrared Image Enhancement Method for Rotating Machinery Fault Diagnosis by Bai, Tangbo, Zhang, Laibin, Duan, Lixiang, Wang, Jinjiang

“…Infrared images are usually subject to low contrast, edge blurring, and high noise. Especially for machinery diagnosis, the range of temperature variation is…”
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Segmented infrared image analysis for rotating machinery fault diagnosis by Duan, Lixiang, Yao, Mingchao, Wang, Jinjiang, Bai, Tangbo, Zhang, Laibin

“…•A segmented infrared image analysis method is presented for machinery diagnosis.•A dispersion degree criterion is formulated to guide the fault-related region…”
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Support vector data description for machinery multi-fault classification with unbalanced datasets by Lixiang Duan, Mengyun Xie, Tangbo Bai, Jinjiang Wang

“…In mechanical fault diagnosis area, fault samples are often difficult to obtain, so the number of fault samples is far less than that of normal samples which…”
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Bearing defect signature analysis based on a SAX-based association rule mining by Tangbo Bai, Lixiang Duan, Yulong Zhang, Jinjiang Wang, Xuduo Wang

“…Association rule mining provides the feasibility by taking an inverse approach for bearing defect signature analysis to directly mine associations between…”
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Integrative intrinsic time-scale decomposition and hierarchical temporal memoryapproach to gearbox diagnosis under variable operating conditions by Duan Lixiang, Yao Mingchao, Wang Jinjiang, Bai Tangbo, Yue Jingjing

“…Gearbox diagnosis under stationary operating conditions has been extensively investigated;however, variable operating conditions such as load and speed changes…”
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A tensor higher-order singular value decomposition for denoising of rolling element bearings with compound fault by Wang, Yanxue, Hu, Chaofan, Bai, Tangbo

“…A tensor higher-order singular value decomposition method is developed for denoising of rolling element bearings with compound fault. The vibration signals are…”
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