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CHEERUP: A General Software-Environment for Building, Using and Administering Predictive Monitoring PortalsMUSSI, S.   |
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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
Abstract
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 376] [SCOPUS Times Cited 498] [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 210] [SCOPUS Times Cited 303] [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] [SCOPUS Times Cited 14] [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 33] [SCOPUS Times Cited 46] [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] [SCOPUS 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 181] [SCOPUS Times Cited 239] [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 9] [SCOPUS Times Cited 11] [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. [CrossRef] [SCOPUS Times Cited 14] [15] F. V. Jensen, An Introduction to Bayesian networks, London: UCL Press, 1996. Web of Science® Citations for all references: 821 TCR SCOPUS® Citations for all references: 1,126 TCR Web of Science® Average Citations per reference: 55 ACR SCOPUS® Average Citations per reference: 75 ACR 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 2024-04-19 09:14 in 50 seconds. Note1: Web of Science® is a registered trademark of Clarivate Analytics. Note2: SCOPUS® is a registered trademark of Elsevier B.V. Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site. |
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
