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Long-term adaptive evolution of
Yong Xiao, Changye Xiao, Feng Zhao
Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 1, doi: 10.1007/s11783-019-1182-8
Keywords: Environmental biotechnology Acclimation Chromate resistance Efflux pumps Detoxification
Fault diagnosis of axial piston pumps with multi-sensor data and convolutional neural network
Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0692-4
Keywords: axial piston pump fault diagnosis convolutional neural network multi-sensor data fusion
As Planet Warms, Heat Pumps Get Hotter
Chris Palmer
Engineering 2023, Volume 29, Issue 10, Pages 2-4 doi: 10.1016/j.eng.2023.08.004
Optimal Scheduling of Variable-pressure Variable-flow Operation of Inverter-drive Pumps Connected in
Li Hongbin,Zhang Chenghui,Song Jun
Strategic Study of CAE 2001, Volume 3, Issue 9, Pages 52-57
Keywords: optimal scheduling nonlinear bounded programming speed regulation of pumps
Development of an analytical model to estimate the churning losses in high-speed axial piston pumps
Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-021-0671-1
Keywords: axial piston pump rotating parts high rotational speed churning losses drag torque
Multi-objective optimization of surface texture for the slipperswash plate interface in EHA pumps
Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0704-4
Keywords: electro-hydrostatic actuator axial piston pump slipper/swash plate interface multi-objective optimization surface texture
Da HUO, Wei WEI, Simon Le BLOND
Frontiers in Energy 2018, Volume 12, Issue 4, Pages 529-539 doi: 10.1007/s11708-018-0580-0
Keywords: borehole thermal storage energy hub ground source heat pumps (GSHP) particle swarm optimisation
A Real-time Monitoring Network and Fault Diagnosis Expert System for Compressors and Pumps
Gao Jinji
Strategic Study of CAE 2001, Volume 3, Issue 9, Pages 41-47
Keywords: plant diagnosis engineering real-time monitoring network artificial intelligent diagnosis first reason analysis method black-gray-white gathering sieving method
Current Status and Development Direction of Deep-Sea Mineral Resource Exploitation Equipment
Wang Guorong , Huang Zeqi , Zhou Shouwei , Fu Qiang , Zhong Lin , Guo Xincheng , Zhu Dan , Liang Dongmei , Huang Chunhai
Strategic Study of CAE 2023, Volume 25, Issue 3, Pages 1-12 doi: 10.15302/J-SSCAE-2023.03.001
Deep-sea mineral resource development is an important measure to address China’s long-term dependence on strategic mineral resources. Having a complete and reliable equipment system is a prerequisite for China to promote its deep-sea mineral resource development and realize self-dependence of national strategic resources. This study focuses on the development history and current status of deep-sea mineral resource exploration and mining equipment in China and abroad and analyzes the bottlenecks that restrict China’s equipment development from three aspects: complete mining system, core mining equipment, and basic equipment and components. It also summarizes the scientific problems that need to be solved urgently and proposes development goals and key research directions from the perspectives of industrial integration, improvement of green mining system, and optimization of technical support. China should prioritize core equipment development to support large-scale mining, promote the integration of multiple industries and high-quality development of the entire equipment chain, and launch major projects for the development of deep-sea mineral resource exploitation equipment, focusing on the deep integration of production, education, research, and application of core equipment technologies. In addition, the government should provide various policy support and focus on innovation and upgrade of domestically produced equipment to promote the commercialized mining of deep-sea minerals in China.
Keywords: deep-sea resource exploration pipeline lift mining system subsea mining vehicles mixed flow lift pumps
Title Author Date Type Operation
Fault diagnosis of axial piston pumps with multi-sensor data and convolutional neural network
Journal Article
Optimal Scheduling of Variable-pressure Variable-flow Operation of Inverter-drive Pumps Connected in
Li Hongbin,Zhang Chenghui,Song Jun
Journal Article
Development of an analytical model to estimate the churning losses in high-speed axial piston pumps
Journal Article
Multi-objective optimization of surface texture for the slipperswash plate interface in EHA pumps
Journal Article
Optimisation for interconnected energy hub system with combined ground source heat pump and borehole thermal storage
Da HUO, Wei WEI, Simon Le BLOND
Journal Article
A Real-time Monitoring Network and Fault Diagnosis Expert System for Compressors and Pumps
Gao Jinji
Journal Article