[1] |
NIE Xin, TAN Tian, SHEN Danfeng.
Research on Stamping Springback of Automobile Beam Parts Based on Deep Learning
[J]. China Mechanical Engineering, 2023, 34(07): 838-846.
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[2] |
TANG Donglin, YANG Zhou, CHENG Heng, LIU Mingxuan, ZHOU Li, DING Chao.
Metal Defect Image Recognition Method Based on Shallow CNN Fusion Transformer
[J]. China Mechanical Engineering, 2022, 33(19): 2298-2305,2316.
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[3] |
YU Hao, HUANG Huagui, ZHENG Jiali, ZHAO Tielin, ZHOU Xinliang.
Non-contact On-line Inspection Method for Surface Defects of Cross-rolling Piercing Plugs for Seamless Steel Tubes
[J]. China Mechanical Engineering, 2022, 33(14): 1717-1724.
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[4] |
YANG Guangyou, LIU Lang, XI Chenbo.
Bearing Fault Diagnosis Based on SA-ACGAN Data Generation Model
[J]. China Mechanical Engineering, 2022, 33(13): 1613-1621.
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[5] |
AI Qingbo, ZHANG Jie, CHENG Hui, LYU Youlong, ZUO Liling, HU Lan.
Analysis for Roll-bending Forming Quality of Spaceflight Thin-walled Cylindrical Workpieces Based on PointCPP-LSF Method#br#
[J]. China Mechanical Engineering, 2022, 33(08): 977-985.
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[6] |
ZHANG Shengwen, ZHOU Xi, LI Bincheng, CHENG Dejun, CHEN Wendi.
Information Extraction Method of Part Machining Features Based on Image Deep Learning
[J]. China Mechanical Engineering, 2022, 33(03): 348-355.
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[7] |
YAN Jieqiong, ZHOU Laishui, HU Shaoqian, WEN Siyang.
Feature-preserving Denoising Method for Aero-engine Profile Point Cloud
[J]. China Mechanical Engineering, 2021, 32(23): 2850-2860,2889.
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[8] |
TONG Jinyu, LUO Jin, ZHENG Jinde.
Rolling Bearing Fault Diagnosis Method Based on Enhanced Deep Auto-encoder Network
[J]. China Mechanical Engineering, 2021, 32(21): 2617-2624.
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[9] |
YIN Chen, ZHOU Shichao, HE Jianliang, SUN Yuxin, WANG Yulin.
Tool Wear Online Recognition Method Based on Multi-source Synchronous Signals and Deep Learning
[J]. China Mechanical Engineering, 2021, 32(20): 2482-2491.
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[10] |
YU Haoshuai, TANG Baoping, ZHANG Kai, TAN Qian, WEI Jing.
Fault Diagnosis Method of Wind Turbine Gearboxes Mixed with Attention Prototype Networks under Small Samples
[J]. China Mechanical Engineering, 2021, 32(20): 2475-2481.
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[11] |
ZHAO Zhihong, LI Lehao, YANG Shaopu, LI Qing.
A Frequency Domain Feature Extraction Auto-encoder and Its Applications on Fault Diagnosis
[J]. China Mechanical Engineering, 2021, 32(20): 2468-2474.
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[12] |
DAI Wen1;ZHANG Chaoyong1;MENG Leilei1;XUE Yanshe1;XIAO Pengfei1;YIN Yong2.
Prediction Model of Milling Cutter Wear Status Based on Deep Learning
[J]. China Mechanical Engineering, 2020, 31(17): 2071-2078.
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[13] |
DING Hua, YANG Liangliang, YANG Zhaojian, WANG Yiliang, .
Health Prediction of Shearers Driven by Digital Twin and Deep Learning
[J]. China Mechanical Engineering, 2020, 31(07): 815-823.
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[14] |
WANG Lihua1;YANG Jiawei1;ZHANG Yonghong1;ZHAO Xiaoping2;XIE Yangyang1.
Tool Wear Condition Recognition Based on SDAE
[J]. China Mechanical Engineering, 2018, 29(17): 2038-2045.
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[15] |
SHI PeimingLIANG KaiZHAO NaAN Shujun.
Intelligent Fault Diagnosis for Gears Based on Deep Learning Feature Extraction and Particle Swarm Optimization SVM State Identification
[J]. China Mechanical Engineering, 2017, 28(09): 1056-1061,1068.
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