Distributed model-based diagnosis using object-relational constraint databases

20th International Conference on Advanced Information Networking and Applications - Volume 1 (AINA'06) ◽

10.1109/aina.2006.148 ◽

2006 ◽

Author(s):

M.T. Gomez-Lopez ◽

R.M. Gasca ◽

C. Valle ◽

S. Pozo

Keyword(s):

Distributed Model ◽

Constraint Databases ◽

Model Based ◽

Object Relational

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Distributed Model-Based Control and Scheduling for Load Frequency Regulation of Smart Grids Over Limited Bandwidth Networks

IEEE Transactions on Industrial Informatics ◽

10.1109/tii.2017.2766666 ◽

2018 ◽

Vol 14 (5) ◽

pp. 1814-1823 ◽

Cited By ~ 4

Author(s):

Shichao Liu ◽

Peter Xiaoping Liu

Keyword(s):

Smart Grids ◽

Distributed Model ◽

Frequency Regulation ◽

Model Based Control ◽

Limited Bandwidth ◽

Model Based ◽

Load Frequency

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Querying a Polynomial Object-Relational Constraint Database in Model-Based Diagnosis

Lecture Notes in Computer Science - Database and Expert Systems Applications ◽

10.1007/11546924_83 ◽

2005 ◽

pp. 848-857 ◽

Cited By ~ 2

Author(s):

M. T. Gómez-López ◽

R. M. Gasca ◽

C. Del Valle ◽

F. T. de la Rosa

Keyword(s):

Model Based ◽

Object Relational ◽

Constraint Database

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Distributed model based thermal control for optimal curing of the large composite structures

21st Mediterranean Conference on Control and Automation ◽

10.1109/med.2013.6608805 ◽

2013 ◽

Author(s):

S. Shevtsov ◽

I. Zhilyaev ◽

M. Flek ◽

L. Chinchan ◽

V. Shevtsova

Keyword(s):

Composite Structures ◽

Thermal Control ◽

Distributed Model ◽

Model Based

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Applying Constraint Databases in the Determination of Potential Minimal Conflicts to Polynomial Model-Based Diagnosis

Constraint Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-540-25954-1_5 ◽

2004 ◽

pp. 74-87 ◽

Cited By ~ 4

Author(s):

Maria Teresa Gómez López ◽

Rafael Ceballos Guerrero ◽

Rafael Martínez Gasca ◽

Carmelo del Valle Sevilla

Keyword(s):

Polynomial Model ◽

Constraint Databases ◽

Model Based

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Distributed Model-Based Science

Studies in Applied Philosophy, Epistemology and Rational Ethics - The Abductive Structure of Scientific Creativity ◽

10.1007/978-3-319-59256-5_2 ◽

2017 ◽

pp. 31-46

Author(s):

Lorenzo Magnani

Keyword(s):

Distributed Model ◽

Model Based

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Object Relational Constraint Databases for GIS

Encyclopedia of GIS ◽

10.1007/978-3-319-17885-1_1598 ◽

2017 ◽

pp. 1449-1457 ◽

Cited By ~ 1

Author(s):

MaríaTeresa Gómez-López ◽

Rafael M. Gasca

Keyword(s):

Constraint Databases ◽

Object Relational

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Model-based exception mining for object-relational data

Data Mining and Knowledge Discovery ◽

10.1007/s10618-020-00677-w ◽

2020 ◽

Vol 34 (3) ◽

pp. 681-722 ◽

Cited By ~ 1

Author(s):

Fatemeh Riahi ◽

Oliver Schulte

Keyword(s):

Relational Data ◽

Model Based ◽

Object Relational

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IMPROVING THE DETERMINATION OF MINIMAL HITTING SETS IN MODEL-BASED DIAGNOSIS USING CONSTRAINT DATABASES

IFAC Proceedings Volumes ◽

10.3182/20060829-4-cn-2909.00251 ◽

2006 ◽

Vol 39 (13) ◽

pp. 1509-1514

Author(s):

M.T. Gómez-López ◽

R.M. Gasca ◽

C. del Valle

Keyword(s):

Constraint Databases ◽

Model Based ◽

Hitting Sets

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Multi-Core Processors: An Enabling Technology for Embedded Distributed Model-Based Control

44th AIAA/ASME/SAE/ASEE Joint Propulsion Conference & Exhibit ◽

10.2514/6.2008-5278 ◽

2008 ◽

Cited By ~ 1

Author(s):

Alireza Behbahani ◽

Nathan Gibson ◽

Murali Rangarajan ◽

Dewey Benson

Keyword(s):

Distributed Model ◽

Enabling Technology ◽

Model Based Control ◽

Model Based

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Using manufacturing process representations

Artificial intelligence for engineering design analysis and manufacturing ◽

10.1017/s0890060400001074 ◽

1989 ◽

Vol 3 (1) ◽

pp. 23-34 ◽

Cited By ~ 1

Author(s):

Lee A. Becker ◽

Ron Bartlett ◽

Arno Kinigadner ◽

Mark Roy

Keyword(s):

Quality Control ◽

Manufacturing Process ◽

Distributed Model ◽

Knowledge Engineer ◽

Model Based ◽

Deep Model ◽

Quality Control Testing

An MPR is a deep model of a manufacturing process. It is claimed to be easier to acquire than experiential diagnostic rules, and the acquisition of an MPR can be done either by a knowledge engineer or an intelligent interrogator program. An MPR can be used for simulating processes, for centralized or distributed model-based diagnosis of problems with processes, for designing the processes themselves, for determining the need for quality control testing and sensor checks, for determining when knowledge about the process is incomplete and additional knowledge needs to be acquired, and for compiling diagnostic rules.

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