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Research Papers

Task-Oriented Adaptive Maintenance Support System

[+] Author and Article Information
Ying Huang

Department of Mechanical Engineering,
Taizhou University,
Taizhou 318000, China

Xingjun Wang

Department of Physics and Electronic Science,
Qiannan Normal College for Nationalities,
Guizhou 558000, China
e-mail: xingjun.wang@gmail.com

Mickaël Gardoni

LGECO,
INSA de Strasbourg,
24, Bd de la Victoire,
Strasbourg Cedex 67084, France
ETS Montréal,
1100, rue Notre Dame Ouest,
Montréal, QC H3 1K3, Canada

Amadou Coulibaly

LGECO,
INSA de Strasbourg,
24, Bd de la Victoire,
Strasbourg Cedex 67084, France

1Corresponding author.

Contributed by the Manufacturing Division of ASME for publication in the JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING. Manuscript received March 31, 2014; final manuscript received February 17, 2015; published online April 24, 2015. Editor: Bahram Ravani.

J. Comput. Inf. Sci. Eng 15(3), 031008 (Sep 01, 2015) (6 pages) Paper No: JCISE-14-1106; doi: 10.1115/1.4030077 History: Received March 31, 2014; Revised February 17, 2015; Online April 24, 2015

Technical manuals for complex systems like automobiles, airplanes, and machine tools, often consist of a huge amount of documentation containing disassembling, assembling instructions and drawings of parts, subassemblies, and exploded views. So it is difficult for users to find a piece of information they need amongst these huge amount of documentations. In order to support maintenance implementation process effectively, a task-oriented adaptive maintenance support (TOAMS) system is designed to provide an intelligent, adaptive electronic support for maintaining complex equipment according to user profiles and their work in hand. By building user model, task model, and product model, document model is configured by multiview and some pieces of semantic information are added into data modules. An agent based software application is being developed to support and allow a systematic utilization of the “adaptive response” by integrating it into the daily work of the technician. An application is presented to show the applicability of our method.

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Copyright © 2015 by ASME
Topics: Maintenance , Modeling
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References

Figures

Grahic Jump Location
Fig. 2

Framework of distributed TOAMS system for adaptive task recommendation

Grahic Jump Location
Fig. 3

Sequence diagram of User_Demand_Package and Adaptive_Response_Package

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Fig. 4

The task predicting interface consists of the appropriate outline frame (left) and adaptive content presentation frame (right)

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