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Frontiers of Engineering Management 2023, Volume 10, Issue 2, Pages 285-299 doi: 10.1007/s42524-022-0197-1
Keywords: spatiotemporal differentiation industrial agglomeration low-carbon economy construction machinery
Li Yunhua,Yang Guilin
Strategic Study of CAE 2005, Volume 7, Issue 9, Pages 25-29
Keywords: construction machinery control manipulation network control
Distributed monitoring and diagnosis system for hydraulic system of construction machinery
Xiaohu CHEN, Wenfeng WU, Hangong WANG, Yongtao ZHOU,
Frontiers of Mechanical Engineering 2010, Volume 5, Issue 1, Pages 106-110 doi: 10.1007/s11465-009-0089-7
Keywords: construction machinery hydraulic system distributed condition monitoring controller area net (CAN) field
Development of Key Domain-Relevant Technologies for Smart Construction in China
Chen Ke, Ding Lieyun
Strategic Study of CAE 2021, Volume 23, Issue 4, Pages 64-70 doi: 10.15302/J-SSCAE-2021.04.007
Smart construction integrates new-generation information technology withconstruction and is important for the highquality development of China’s construction industryThis study expounds the basic concept and importance of smart construction and summarizes four typesInternet of things for smart construction sites, intelligent construction machinery for man–machineintegration, and construction big data for intelligent decision making.
Basic research on machinery fault diagnostics: Past, present, and future trends
Xuefeng CHEN, Shibin WANG, Baijie QIAO, Qiang CHEN
Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2, Pages 264-291 doi: 10.1007/s11465-018-0472-3
Machinery fault diagnosis has progressed over the past decades with the evolution of machineries inResearch on machinery Fault diagnostics has grown rapidly in recent years.This paper attempts to summarize and review the recent R&D trends in the basic research field of machineryThe review discusses the special contributions of Chinese scholars to machinery fault diagnostics.On the basis of the review of basic theory of machinery fault diagnosis and its practical applications
Keywords: fault diagnosis fault mechanism feature extraction signal processing intelligent diagnostics
Imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning
Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4, Pages 829-839 doi: 10.1007/s11465-021-0652-4
Keywords: imbalanced fault diagnosis graph feature learning rotating machinery autoencoder
New method of fault diagnosis of rotating machinery based on distance of information entropy
Houjun SU, Tielin SHI, Fei CHEN, Shuhong HUANG
Frontiers of Mechanical Engineering 2011, Volume 6, Issue 2, Pages 249-253 doi: 10.1007/s11465-011-0124-3
Keywords: rotating machinery information fusion fault diagnosis Information entropy distance of the information
Service-Oriented Manufacturing Mode for Agricultural Machinery Manufacturing Industry
Luo Jianqiang, Zhang Chi
Strategic Study of CAE 2023, Volume 25, Issue 1, Pages 178-186 doi: 10.15302/J-SSCAE-2023.01.704
Keywords: service-oriented manufacturing manufacturing servitization agricultural machinery agricultural solutions
Carbon Quotas, Subsidies and Engineering Machinery Remanufacturing
Dong-bin Hu,Chen-xi Xiao,Xiao-hong Chen
Frontiers of Engineering Management 2016, Volume 3, Issue 1, Pages 50-58 doi: 10.15302/J-FEM-2016014
Keywords: competitive closed-loop supply chain government subsidies carbon quota allocation remanufacturing
Ge Shirong , Zhang Xi , Xue Guanghui , Ren Huaiwei , Wang Hongwei ,Pang Yihui , Fan Lei
Strategic Study of CAE 2023, Volume 25, Issue 5, Pages 146-156 doi: 10.15302/J-SSCAE-2023.05.013
Coal machinery is crucial for the technological transformation of coalDriven by the carbon peaking and carbon neutralization goals and the wave of intelligent coal mine construction, China’s coal machinery industry will transform and upgrade toward intelligence, green, safetyand machinery for coal mining has become an urgent demand.research and manufacture, thereby promoting the high-quality development of coal machinery.
Keywords: coal machinery intelligence key technologies industrial upgrading low carbon
Goryachkin’s agricultural mechanics
Vera CHINENOVA
Frontiers of Mechanical Engineering 2016, Volume 11, Issue 1, Pages 87-94 doi: 10.1007/s11465-016-0378-x
The paper contributes to the development of applied mechanics by establishing a new discipline, namely, agricultural mechanics by academician Vasilii Prohorovich Goryachkin (1868–1935) who was an apprentice of Nikolay Yegorovich Zhukovsky and a graduate of the Moscow University (current known as Moscow State University) and the Imperial Higher Technical School.
Keywords: theory of mechanisms and machines agricultural machinery engineering agricultural mechanics
Zhou Jing, Qing Ping
Strategic Study of CAE 2019, Volume 21, Issue 5, Pages 60-66 doi: 10.15302/J-SSCAE-2019.05.019
Improving the quality of domestic agricultural machinery is crucial forChina's agricultural machinery manufacturing to become stronger.This study summarizes the status quo and existing problems of agricultural machinery manufacturing inis significantly lower than that of non-domestic agricultural machinery., and reconstructing the discipline system for agricultural machinery in universities.
Keywords: domestic agricultural machinery quality evaluation farmer survey Central China
Intelligent diagnosis methods for plant machinery
Huaqing WANG, Peng CHEN, Shuming WANG,
Frontiers of Mechanical Engineering 2010, Volume 5, Issue 1, Pages 118-124 doi: 10.1007/s11465-009-0084-z
Keywords: intelligent diagnosis neural network fuzzy algorithm adaptive filtering plant machinery
Structural synthesis of ancient Chinese foot-operated silk-reeling mechanism
Kuohung HSIAO, Yuhsun CHEN, Hongsen YAN,
Frontiers of Mechanical Engineering 2010, Volume 5, Issue 3, Pages 279-288 doi: 10.1007/s11465-010-0101-2
Keywords: silk-reeling mechanism structure of mechanism reconstruction design history of machinery
Shaohong WANG, Tao CHEN, Jianghong SUN
Frontiers of Mechanical Engineering 2010, Volume 5, Issue 2, Pages 165-170 doi: 10.1007/s11465-009-0090-1
Keywords: large rotating machinery remote monitoring fault diagnosis prediction system
Title Author Date Type Operation
agglomeration and low-carbon economy considering spatiotemporal differentiation: An empirical study in China’s constructionmachinery industry
Journal Article
Investigation on Network Control for Control and Manipulating System of the Vehicle and ConstructionMachinery
Li Yunhua,Yang Guilin
Journal Article
Distributed monitoring and diagnosis system for hydraulic system of construction machinery
Xiaohu CHEN, Wenfeng WU, Hangong WANG, Yongtao ZHOU,
Journal Article
Development of Key Domain-Relevant Technologies for Smart Construction in China
Chen Ke, Ding Lieyun
Journal Article
Basic research on machinery fault diagnostics: Past, present, and future trends
Xuefeng CHEN, Shibin WANG, Baijie QIAO, Qiang CHEN
Journal Article
Imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning
Journal Article
New method of fault diagnosis of rotating machinery based on distance of information entropy
Houjun SU, Tielin SHI, Fei CHEN, Shuhong HUANG
Journal Article
Service-Oriented Manufacturing Mode for Agricultural Machinery Manufacturing Industry
Luo Jianqiang, Zhang Chi
Journal Article
Carbon Quotas, Subsidies and Engineering Machinery Remanufacturing
Dong-bin Hu,Chen-xi Xiao,Xiao-hong Chen
Journal Article
Development of Intelligent Technologies and Machinery for Coal Mining in China’s Underground Coal Mines
Ge Shirong , Zhang Xi , Xue Guanghui , Ren Huaiwei , Wang Hongwei ,Pang Yihui , Fan Lei
Journal Article
Study on Quality Evaluation of Domestic Agricultural Machinery Equipment: An Analysis Based on the Farmer
Zhou Jing, Qing Ping
Journal Article
Intelligent diagnosis methods for plant machinery
Huaqing WANG, Peng CHEN, Shuming WANG,
Journal Article
Structural synthesis of ancient Chinese foot-operated silk-reeling mechanism
Kuohung HSIAO, Yuhsun CHEN, Hongsen YAN,
Journal Article