Computer Based Power Management Systems

2005 ◽  
pp. 435-448
Keyword(s):  
Power Management ◽  
Management Systems ◽  
Computer Based

A Review of Switched Inertance Hydraulic Converter Technology

2018 ◽  
Author(s):  
Chenggang Yuan ◽  
Min Pan ◽  
Andrew Plummer
Keyword(s):  
Power Management ◽  
Energy Efficient ◽  
Control Strategies ◽  
New Technology ◽  
High Energy ◽  
Management Systems ◽  
Hydraulic Power ◽  
Controlled Systems ◽  
Hydraulic Machines ◽  
And Control

Digital hydraulics is a new technology providing an alternative to conventional proportional or servovalve-controlled systems in the area of fluid power. Research is driven by the need for highly energy efficient hydraulic machines but is relatively immature compared to other energy-saving technologies. Digital hydraulic applications, such as digital pumps, digital valves and actuators, switched inertance hydraulic converters (SIHCs) and digital hydraulic power management systems, all promise high energy efficiency. This review introduces the development of SIHCs and evaluates the device configurations, performance and control strategies that are found in current SIHC research, particularly focusing on the work being undertaken in last 15 years. The designs for highspeed switching valves are evaluated, and their advantages and limitations are discussed. This article concludes with some suggestions for the future development of SIHCs.

Management of Bridge Structures – Challenges and Possibilities

2020 ◽  
Author(s):  
J. Bień ◽  
M. Salamak
Keyword(s):  
Integrated Management ◽  
Transport Infrastructure ◽  
Management Systems ◽  
Knowledge Based ◽  
Bridge Structures ◽  
Computer Based ◽  
Maintenance Systems ◽  
Infrastructure Improvement ◽  
Diagnostic Technologies ◽  
Monitoring Quality

<p>Bridges are particularly vulnerable elements of transport infrastructures. In many cases, bridge structures may be subject to higher volumes of traffic and higher loads as well as more severe environmental conditions than it was designed. Sound procedures to ensure monitoring, quality control, and preventive maintenance systems are therefore vital. The paper presents main challenges and arriving possibilities in management of bridge structures, including: relationships between environment and bridge infrastructure, improvement of diagnostic technologies, advanced modelling of bridges in computer-based management systems, development of knowledge-based expert systems with application of artificial intelligence, applications of technology of Bridge Information Modelling (BrIM) with augmented and virtual reality techniques. Presented activities are focused on monitoring the safety of bridges for lowering the risk of an unexpected collapse significantly as well as on efficient maintenance of bridges as components of transport infrastructure − by means of integrated management systems.</p>

Evolution of power management systems for the 1990's

2002 ◽  
Author(s):  
J.R. Bartoletti ◽  
D.J. West ◽  
R.C. Patterson ◽  
R.G. Durso ◽  
L.J. Powell ◽  
...  
Keyword(s):  
Power Management ◽  
Management Systems

The Importance of Automated Sample Management Systems in Realizing the Potential of Large Compound Libraries in Drug Discovery

1997 ◽  
Vol 2 (4) ◽  
pp. 203-206 ◽  
Author(s):  
Willie Harrison
Keyword(s):  
Drug Discovery ◽  
Human Error ◽  
Management Systems ◽  
Sample Storage ◽  
Biological Targets ◽  
Storage And Retrieval ◽  
Compound Libraries ◽  
Sample Management ◽  
Computer Based ◽  
Large Compound

Biomolecular screening is now enabled at a far greater scale than ever before due to the explosion of available libraries and targets. By the early '90s, however, it was becoming clear that the potential number of tests which could be done (theoretically the product of available test compounds multiplied by identified biological targets) was, in practice, being severely limited by the logistics of handling and preparing samples at rates exceeding 10,000 compounds per day. What was required was, in effect, a "sample supermarket" to feed screening research. This article describes the development of a solution to this problem, called Haystack, which was designed to be this sample supermarket, but with the addition of extensive use of robotics and computer based automation to reduce the scope for human error. The Haystack system consists of three broad types of modules which are: Sample Storage and Retrieval, Sample Dispensing and Preparation, and Sample Tracking and Data Management.

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