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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  4/2011 - 10

CHEERUP: A General Software-Environment for Building, Using and Administering Predictive Monitoring Portals

MUSSI, S. See more information about MUSSI, S. on SCOPUS See more information about MUSSI, S. on IEEExplore See more information about MUSSI, S. on Web of Science
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Download PDF pdficon (405 KB) | Citation | Downloads: 890 | Views: 313

Author keywords
computer applications, predictive models, learning systems, data processing

References keywords
monitoring(13), predictive(11), manufacturing(6), technology(5), systems(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2011-11-30
Volume 11, Issue 4, Year 2011, On page(s): 63 - 70
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.04010
Web of Science Accession Number: 000297764500010
SCOPUS ID: 84856597875

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The intended meaning of the term predictive monitoring used in the paper is the following. A population of subjects (living beings, machines, works of art, etc.) is monitored by a domain expert with regard to the possible occurrence of an undesired/desired event E. More precisely, an expert periodically (e.g. every two years, every week, etc. depending on the specific application) examines the single subjects and, for each of them, enters examination outcomes in a database where statistical data are automatically processed in order to produce probabilistic inferences about the occurrence in the future of E for the subject under examination (individualized prediction). This allows the expert to take suitable measures in advance in order to prevent/favour the occurrence of E for the subject. Such an approach to predictive monitoring requires that the expert who monitors subjects has at his/her disposal a suitable software system provided with database and algorithms for both properly managing monitoring-processes and producing probabilistic predictions. The paper presents CHEERUP : a prototype product, usable via Internet, that consists in a general software-environment for building, using and administering specific predictive monitoring software-systems (in the paper called portals).

References | Cited By  «-- Click to see who has cited this paper

[1] S. Spiewak and M. Szafarczyk, "A Predictive Monitoring and Diagnosis System for Manufacturing", CIRP Annals - Manufacturing Technology, vol. 40, no. 1, pp. 400-403, 1991.

[2] J. Lee, J. Ni, D. Djurdjanovic, H. Qiu and H. Liao, "Intelligent prognostics tools and e-maintenance", Computers in Industry, vol.57, no. 6, pp. 476-489, 2006.
[CrossRef] [Web of Science Times Cited 315]

[3] H. Liao and J. Lee, "Predictive Monitoring and Failure Prevention of Vehicle Electronic Components and Sensor Systems", SAE 2006 World Congress & Exhibition, April 2006, Detroit, MI, USA, Session: Automobile Electronics and Systems Reliability (Part 1 of 2).

[4] R. Kothamasu, S. H. Huang and William H. VerDuin, "System health monitoring and prognostics—a review of current paradigms and practices", The International Journal of Advanced Manufacturing Technology, vol. 28, no. 9-10, pp. 1012-1024, 2006.
[CrossRef] [Web of Science Times Cited 172]

[5] F. Ly, A. K. A. Toguyeni and E. Craye, "Indirect predictive monitoring in flexible manufacturing systems", Robotics and Computer-Integrated Manufacturing, vol. 16, no. 5, pp. 321-338, 2000.
[CrossRef] [Web of Science Times Cited 11]

[6] B. C. Juricek, D. E. Seborg and W. E. Larimore, "Predictive monitoring for abnormal situation management", Journal of Process Control, vol. 11, no. 2, pp. 111-128, 2001.
[CrossRef] [Web of Science Times Cited 30]

[7] S. A. Spiewak, R. Duggirala and K. Barnett, "Predictive Monitoring and Control of the Cold Extrusion Process", CIRP Annals - Manufacturing Technology, vol. 49, no. 1, pp. 383-386, 2000.

[8] J. Jeng, C. Li, H. Huang, "Dynamic Processes Monitoring Using Predictive PCA", Journal of the Chinese Institute of Engineers, vol. 29, no. 2, pp. 311-318, 2006.
[CrossRef] [Web of Science Times Cited 1]

[9] A. Ali, A. Khelil, F. K. Shaikh and N. Suri, "MPM: Map based Predictive Monitoring for Wireless Sensor Networks", Autonomic Computing and Communications Systems, Third Int. ICST Conf. Autonomics 2009, Limassol, Cyprus, September 9-11, 2009.

[10] S. C. Choi and P. A. Pepple, "Monitoring Clinical Trials Based on Predictive Probability of Significance", Biometrics, vol. 45, no. 1, pp. 317-323, 1989.

[11] J. Reifman, S. Rajaraman, A. Gribok and W. K. Ward, "Predictive Monitoring for Improved Management of Glucose Levels", J Diabetes Science Technology, vol. 1, no. 4, pp. 478-486, 2007. [PubMed]

[12] C. Perez-Gandia, A. Facchinetti, G. Sparacino, C. Cobelli, E.J. Gómez, M. Rigla, A. de Leiva and M.E. Hernando, "Artificial Neural Network Algorithm for Online Glucose Prediction from Continuous Glucose Monitoring", Diabetes Technology & Therapeutics, vol. 12, no. 1, pp. 81-88, 2010.
[CrossRef] [Web of Science Times Cited 114]

[13] J. Chen, T.-Y. Hsu, C.-C. Chen, and Y.-C. Cheng, "Online Predictive Monitoring Using Dynamic Imaging of Furnaces with the Combinational Method of Multiway Principal Component Analysis and Hidden Markov Model", Industrial & Engineering Chemistry Research, vol. 50, no 5, pp. 2946-2958, 2011.
[CrossRef] [Web of Science Times Cited 8]

[14] D. P. O'leary, L. L. Davis and S. Li, "Predictive Monitoring of High-frequency Vestibulo-ocular Reflex Rehabilitation Following Gentamicin Ototoxicity", Acta Oto-Laryngologica, vol. 115, no. S520, pp. 202-204, 1995.

[15] F. V. Jensen, An Introduction to Bayesian networks, London: UCL Press, 1996.

References Weight

Web of Science® Citations for all references: 651 TCR
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 43 ACR
SCOPUS® Average Citations per reference: 0

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2021-01-18 08:58 in 49 seconds.

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