Tele-operation of an industrial robot by an arm exoskeleton for peg-in-hole operation using immersive environments

Robotica ◽  
2021 ◽  
pp. 1-16
Author(s):  
Sachin Kansal ◽  
Mohd Zubair ◽  
Bhivraj Suthar ◽  
Sudipto Mukherjee
Keyword(s):  
Visual Feedback ◽  
Nuclear Power ◽  
Industrial Robot ◽  
Tactile Feedback ◽  
Nuclear Power Generation ◽  
Upper Limb Exoskeleton ◽  
Qualitative Understanding ◽  
Generation Plant ◽  
Power Generation Plant ◽  
Immersive Environment

Abstract The design and development of an upper limb exoskeleton are being discussed for the tele-operation in order to control the KUKA KR5 industrial robot. When sufficient resolution is not provided by the visual feedback, feedback of haptic provides a qualitative understanding of changes in the remote conditions. This also provides tactile feedback from the virtual and real environment. Peg in a hole operation using exoskeleton works as the master for tele-operation in order to control the robot using immersive environment as visual feedback for the operator. The application of this work can be implemented as a nuclear power generation plant.

scholarly journals Making Sustainable Network-Community for Refugees from Fukushima Nuclear Plant Disaster on Stable Historic Castle Town and Region

2017 ◽  
Author(s):  
Shigeru Satoh
Keyword(s):  
Urban Areas ◽  
Nuclear Power ◽  
Stable Region ◽  
Nuclear Power Generation ◽  
Aged People ◽  
Public Facilities ◽  
Network Community ◽  
Generation Plant ◽  
Power Generation Plant ◽  
Housing Estates

After Fukushima nuclear power generation plant accident disaster, all of residents in the area contaminated by radioactivity, and all public facilities are evacuated to surrounding regions or more remote cities by central government’s directions. So refugee temporary housing estates are scattered and aged people left there after six years since the disaster. Namie town is the biggest one in these area. City of Nihonmastu is typical Japanese castle town city and adjacent to contaminated area, and accepted many Nanie refugees, temporary housings, town office and schools, hospitals and industry site, so on. Fukushima Namie Recovering Project team, organized by NPO Shinmachi-Namie and Waseda university, proposed Network-community connecting several refugee housing estates, evacuated public facilities and other city cores. It is necessary to connect them and reintegrate their community facilitating “supporting system for network community” in practice. This vision of Network-community would be adapted to the historical stable region, which involves various dispersed, aged and isolated communities. Nihonmatsu, as the Castle Town City of Nakadori-region in Fukushima prefecture, attracts people’s attention by its historical urban areas, old streets and lots of unoccupied housing and so on. That is, it is very hard to let Nihonmatsu people think optimistically about the shelter for Namie evacuees. Nevertheless, the areas of Nakadori region including Nihonmatsu may cooperate with the Namie evacuee and energize the ruined coastline by “Network Community” – the network that encompasses various historical traditions that still exist today as the regional resources; thus, the vision of future Fukushima is expectable.

scholarly journals Evaluation of artificial intelligence techniques used in the diagnosis of failures in power plants

Respuestas ◽  
2020 ◽  
Vol 25 (2) ◽  
pp. 177-189
Author(s):  
Jesús Filander-Caratar ◽  
Andrés Mauricio-Valencia ◽  
Gladys Caicedo-Delgado ◽  
Cristian Chamorro
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Systems ◽  
Nuclear Power ◽  
Power Plants ◽  
Artificial Intelligence Techniques ◽  
Hybrid Techniques ◽  
Knowledge Based ◽  
Generation Plant ◽  
Power Generation Plant ◽  
Detection And Diagnosis

This article presents an evaluation about the research related to the development of computational tools based on artificial intelligence techniques, which focus on the detection and diagnosis of faults in the different processes associated with a power generation plant such as: hydroelectric, thermoelectric and nuclear power plants. Initially, the main techniques of artificial intelligence that allow the construction of intelligent systems in the area of fault diagnosis is described in a general way, techniques such as: fuzzy logic, neural networks, knowledge-based systems and hybrid techniques Subsequently A summary of the research based on each of these techniques is presented. Subsequently, the different articles found for each of the techniques are presented in tables, illustrating the year of publication and the description of the research carried out. The result of this work is the comparison and evaluation of each technique focused on the diagnosis of failures in power plants. The novelty of this work is that it presents an extensive bibliography of the applications of the different intelligent techniques in solving the problem of detection and diagnosis of failure in power plants

Investigating anode off-gas under spark-ignition combustion for SOFC-ICE hybrid systems

2021 ◽  
pp. 146808742110169
Author(s):  
Zhongnan Ran ◽  
Jon Longtin ◽  
Dimitris Assanis
Keyword(s):  
Hybrid Systems ◽  
Conversion Efficiency ◽  
Combustion Engine ◽  
Spark Ignition ◽  
Combustion Efficiency ◽  
Experimental Investigations ◽  
Fuel Conversion ◽  
Generation Plant ◽  
Complementary Role ◽  
Power Generation Plant

Solid oxide fuel cell – internal combustion engine (SOFC-ICE) hybrid systems are an attractive solution for electricity generation. The system can achieve up to 70% theoretical electric power conversion efficiency through energy cascading enabled by utilizing the anode off-gas from the SOFC as the fuel source for the ICE. Experimental investigations were conducted with a single cylinder Cooperative Fuel Research (CFR) engine by altering fuel-air equivalence ratio (ϕ), and compression ratio (CR) to study the engine load, combustion characteristics, and emissions levels of dry SOFC anode off-gas consisting of 33.9% H2, 15.6% CO, and 50.5% CO2. The combustion efficiency of the anode off-gas was directly evaluated by measuring the engine-out CO emissions. The highest net-indicated fuel conversion efficiency of 31.3% occurred at ϕ  = 0.90 and CR = 13:1. These results demonstrate that the anode off-gas can be successfully oxidized using a spark ignition combustion mode. The fuel conversion efficiency of the anode tail gas is expected to further increase in a more modern engine architecture that can achieve increased burn rates in comparison to the CFR engine. NOx emissions from the combustion of anode off-gas were minimal as the cylinder peak temperatures never exceeded 1800 K. This experimental study ultimately demonstrates the viability of an ICE to operate using an anode off-gas, thus creating a complementary role for an ICE to be paired with a SOFC in a hybrid power generation plant.

Feedback Modalities in Brain–Computer Interfaces: A Systematic Review

2020 ◽  
Vol 64 (1) ◽  
pp. 1186-1190
Author(s):  
Wakana Ishihara ◽  
Karen Moxon ◽  
Sheryl Ehrman ◽  
Mark Yarborough ◽  
Tina L. Panontin ◽  
...  
Keyword(s):  
Systematic Review ◽  
Visual Feedback ◽  
Auditory Feedback ◽  
Brain Computer Interface ◽  
Tactile Feedback ◽  
Proprioceptive Feedback ◽  
Computer Interface ◽  
Computer Interfaces ◽  
Feedback Modalities ◽  
Improving Accuracy

This systematic review addresses the plausibility of using novel feedback modalities for brain–computer interface (BCI) and attempts to identify the best feedback modality on the basis of the effectiveness or learning rate. Out of the chosen studies, it was found that 100% of studies tested visual feedback, 31.6% tested auditory feedback, 57.9% tested tactile feedback, and 21.1% tested proprioceptive feedback. Visual feedback was included in every study design because it was intrinsic to the response of the task (e.g. seeing a cursor move). However, when used alone, it was not very effective at improving accuracy or learning. Proprioceptive feedback was most successful at increasing the effectiveness of motor imagery BCI tasks involving neuroprosthetics. The use of auditory and tactile feedback resulted in mixed results. The limitations of this current study and further study recommendations are discussed.

Exploring the perception of Nigerians towards nuclear power generation

2021 ◽  
pp. 1-12
Author(s):  
Daniel R. E. Ewim ◽  
Stephen S. Oyewobi ◽  
Michael O. Dioha ◽  
Chibuike E. Daraojimba ◽  
Suzzie O. Oyakhire ◽  
...  
Keyword(s):  
Power Generation ◽  
Nuclear Power ◽  
Nuclear Power Generation

Siemens Westinghouse Advanced Turbine Systems Program Final Summary

2002 ◽  
Author(s):  
Ihor S. Diakunchak ◽  
Greg R. Gaul ◽  
Gerry McQuiggan ◽  
Leslie R. Southall
Keyword(s):  
High Temperature ◽  
High Efficiency ◽  
Technology Development ◽  
Mechanical Design ◽  
System Development ◽  
Department Of Energy ◽  
Combustion Heat ◽  
Alloy Casting ◽  
Generation Plant ◽  
Power Generation Plant

This paper summarises achievements in the Siemens Westinghouse Advanced Turbine Systems (ATS) Program. The ATS Program, co-funded by the U.S. Department of Energy, Office of Fossil Energy, was a very successful multi-year (from 1992 to 2001) collaborative effort between government, industry and participating universities. The program goals were to develop technologies necessary for achieving significant gains in natural gas-fired power generation plant efficiency, a reduction in emissions, and a decrease in cost of electricity, while maintaining current state-of-the-art electricity generation systems’ reliability, availability, and maintainability levels. Siemens Westinghouse technology development concentrated on the following areas: aerodynamic design, combustion, heat transfer/cooling design, engine mechanical design, advanced alloys, advanced coating systems, and single crystal (SC) alloy casting development. Success was achieved in designing and full scale verification testing of a high pressure high efficiency compressor, airfoil clocking concept verification on a two stage turbine rig test, high temperature bond coat/TBC system development, and demonstrating feasibility of large SC turbine airfoil castings. The ATS program included successful completion of W501G engine development testing. This engine is the first step in the W501ATS engine introduction and incorporates many ATS technologies, such as closed-loop steam cooling, advanced compressor design, advanced sealing and high temperature materials and coatings.

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