Academic literature on the topic 'Industrial plant monitoring'

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Journal articles on the topic "Industrial plant monitoring"

1

Ge, Zhiqiang, and Junghui Chen. "Plant-Wide Industrial Process Monitoring: A Distributed Modeling Framework." IEEE Transactions on Industrial Informatics 12, no. 1 (2016): 310–21. http://dx.doi.org/10.1109/tii.2015.2509247.

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2

Intelligent Applications Ltd. "Industrial plant/process condition monitoring and fault diagnosis products." Knowledge-Based Systems 1, no. 2 (1988): 124. http://dx.doi.org/10.1016/0950-7051(88)90014-7.

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3

Gupta, Sumeet, Shekhar Verma, G. S. Tomar, and Raj Kumar Abrol. "Intelligent Industrial Data Acquisition and Energy Monitoring using Wireless Sensor Networks." International Journal of Grid and High Performance Computing 2, no. 3 (2010): 44–59. http://dx.doi.org/10.4018/jghpc.2010070104.

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Most of the application-oriented research in the field of Wireless Sensor Networks has been in remote monitoring, including environmental, building automation, and security. However, this paper presents the methodology followed for implementation of a Wireless Sensor Network based solution in a process plant for energy management and leak detection. The sensor network acquires data pertaining to detection of leakage in a plant. The network further serves effectively as a maintenance and diagnostic system that is used to manage the plant and conserve energy in a process plant. The critical desi
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4

Figliuolo Brandão, Rozilda. "Monitoring of Fugitive Emissions in Petrochemical Plant." Water Science and Technology 29, no. 8 (1994): 125–33. http://dx.doi.org/10.2166/wst.1994.0395.

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The U.S. Environmental Protection Agency (EPA) estimates that a third of the emissions into the atmosphere in some industrial plants is due to Fugitive Emissions. It defines Fugitive Emissions as the diffuse release of volatile organic compounds (VOC) or hydrocarbons into the atmosphere, through pumps, valves, connections, open-ended lines, compressors, etc., establishing emission patterns and monitoring frequency. COPENE Petroquimica do Nordeste S/A has been implanting a program of fugitive emissions adapted to the reality, trying to promote a continuous improvement in its employees' working
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5

Weng, Hao, and Jinji Gao. "A Wireless Routing Protocol for Pumps Monitoring in Large Industrial Plant." Research Journal of Applied Sciences, Engineering and Technology 5, no. 9 (2013): 2870–77. http://dx.doi.org/10.19026/rjaset.5.4819.

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6

Aguilar-López, Ricardo, Rafael Martínez-Guerra, Juan Mendoza-Camargo, and María Isabel Neria-González. "Monitoring of an industrial wastewater plant employing finite-time convergence observer." Journal of Chemical Technology & Biotechnology 81, no. 6 (2006): 851–57. http://dx.doi.org/10.1002/jctb.1458.

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7

Sharif, M. A., and R. I. Grosvenor. "Process plant condition monitoring and fault diagnosis." Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 212, no. 1 (1998): 13–30. http://dx.doi.org/10.1243/0954408981529268.

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The paper reviews current research work in the field of process condition monitoring and fault diagnosis. The review compares and contrasts the applicability and efficiency of different techniques, and concentrates on methods which monitor the main process variables. From the wide range of methods and process variables, temperature, flowrate and liquid level are used here in comparing the limitations and applications of each method. The scope of the paper ranges from basic, well established techniques to the latest reported monitoring strategies for each of the process variables. Furthermore,
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8

Filgueiras, Viviane, Enrique Luis Lima, and José Carlos Pinto. "Long-term statistical stability of industrial plants: Performance indicators and monitoring of an industrial pet plant." Canadian Journal of Chemical Engineering 91, no. 9 (2013): 1523–37. http://dx.doi.org/10.1002/cjce.21819.

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9

Ahsan, Q., R. I. Grosvenor, and P. W. Prickett. "Distributed On-Line System for Process Plant Monitoring." Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 220, no. 2 (2006): 61–77. http://dx.doi.org/10.1243/09544089jpme53.

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This paper describes a methodology for monitoring industrial processes and plant that can be implemented cost-effectively within small-to-medium enterprises. The methodology is based on a network of 8-bit microcontrollers that communicate with each other on a controller area network bus. Ethernet connectivity is provided so that remote users can access the system on the internet. The software models developed for data acquisition nodes and the design of remote user interfaces and supervisory nodes are also explained. The system is aimed at providing specific maintenance guidance and fault iden
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10

Farrell, D. M., B. J. Robbins, J. Stallings, S. Cardoso, and W. Bakker. "Crack growth monitoring on industrial plant using established electrical resistance ‘scanner’ technology." Insight - Non-Destructive Testing and Condition Monitoring 50, no. 12 (2008): 690–94. http://dx.doi.org/10.1784/insi.2008.50.12.690.

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