Knowledge-driven finite-state machines. Study case in monitoring industrial equipment

Luis. E. Gonzalez Moctezuma; Borja Ramis Ferrer; Xiangbin Xu; Andrei Lobov; Jose L. Martinez Lastra

doi:10.1109/INDIN.2015.7281881

Knowledge-driven finite-state machines. Study case in monitoring industrial equipment

Luis. E. Gonzalez Moctezuma, Borja Ramis Ferrer, Xiangbin Xu, Andrei Lobov, Jose L. Martinez Lastra

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

6 Citations (Scopus)

Abstract

Traditionally state machines are implemented by coding the desired behavior of a given system. This work proposes the use of ontological models to describe and perform computations on state machines by using SPARQL queries. This approach represents a paradigm shift relating to the customary manner in which state machines are stored and computed. The main contribution of the work is an ontological model to represent state machines and a set of generic queries that can be used in any knowledge-driven state machine to compute valuable information. The approach was tested in a study case were the state machines of industrial robots in a manufacturing line were modeled as ontological models and used for monitoring the behavior of these devices on real time.

Original language	English
Title of host publication	2015 IEEE 13th International Conference on Industrial Informatics (INDIN)
Pages	1056-1062
Number of pages	7
DOIs	https://doi.org/10.1109/INDIN.2015.7281881
Publication status	Published - 1 Jul 2015
Publication type	A4 Article in conference proceedings
Event	IEEE International Conference on Industrial Informatics - Duration: 1 Jan 1900 → …

Conference

Conference	IEEE International Conference on Industrial Informatics
Period	1/01/00 → …

Keywords

condition monitoring
finite state machines
ontologies (artificial intelligence)
production engineering computing
production equipment
SPARQL queries
industrial robots
knowledge-driven finite-state machines
manufacturing line
monitoring industrial equipment
ontological models
state machines
Computational modeling
Manufacturing
Monitoring
OWL
Ontologies
Service robots
Finite-State Machine
SPARQL
industrial monitoring
knowledge-driven manufacturing
ontology

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10.1109/INDIN.2015.7281881

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title = "Knowledge-driven finite-state machines. Study case in monitoring industrial equipment",

abstract = "Traditionally state machines are implemented by coding the desired behavior of a given system. This work proposes the use of ontological models to describe and perform computations on state machines by using SPARQL queries. This approach represents a paradigm shift relating to the customary manner in which state machines are stored and computed. The main contribution of the work is an ontological model to represent state machines and a set of generic queries that can be used in any knowledge-driven state machine to compute valuable information. The approach was tested in a study case were the state machines of industrial robots in a manufacturing line were modeled as ontological models and used for monitoring the behavior of these devices on real time.",

keywords = "condition monitoring, finite state machines, ontologies (artificial intelligence), production engineering computing, production equipment, SPARQL queries, industrial robots, knowledge-driven finite-state machines, manufacturing line, monitoring industrial equipment, ontological models, state machines, Computational modeling, Manufacturing, Monitoring, OWL, Ontologies, Service robots, Finite-State Machine, SPARQL, industrial monitoring, knowledge-driven manufacturing, ontology",

author = "{Gonzalez Moctezuma}, {Luis. E.} and Ferrer, {Borja Ramis} and Xiangbin Xu and Andrei Lobov and {Martinez Lastra}, {Jose L.}",

year = "2015",

month = jul,

day = "1",

doi = "10.1109/INDIN.2015.7281881",

language = "English",

isbn = "978-1-4799-6649-3",

pages = "1056--1062",

booktitle = "2015 IEEE 13th International Conference on Industrial Informatics (INDIN)",

note = "IEEE International Conference on Industrial Informatics ; Conference date: 01-01-1900",

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Knowledge-driven finite-state machines. Study case in monitoring industrial equipment. / Gonzalez Moctezuma, Luis. E.; Ferrer, Borja Ramis; Xu, Xiangbin et al.
2015 IEEE 13th International Conference on Industrial Informatics (INDIN). 2015. p. 1056-1062.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Knowledge-driven finite-state machines. Study case in monitoring industrial equipment

AU - Gonzalez Moctezuma, Luis. E.

AU - Ferrer, Borja Ramis

AU - Xu, Xiangbin

AU - Lobov, Andrei

AU - Martinez Lastra, Jose L.

PY - 2015/7/1

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N2 - Traditionally state machines are implemented by coding the desired behavior of a given system. This work proposes the use of ontological models to describe and perform computations on state machines by using SPARQL queries. This approach represents a paradigm shift relating to the customary manner in which state machines are stored and computed. The main contribution of the work is an ontological model to represent state machines and a set of generic queries that can be used in any knowledge-driven state machine to compute valuable information. The approach was tested in a study case were the state machines of industrial robots in a manufacturing line were modeled as ontological models and used for monitoring the behavior of these devices on real time.

AB - Traditionally state machines are implemented by coding the desired behavior of a given system. This work proposes the use of ontological models to describe and perform computations on state machines by using SPARQL queries. This approach represents a paradigm shift relating to the customary manner in which state machines are stored and computed. The main contribution of the work is an ontological model to represent state machines and a set of generic queries that can be used in any knowledge-driven state machine to compute valuable information. The approach was tested in a study case were the state machines of industrial robots in a manufacturing line were modeled as ontological models and used for monitoring the behavior of these devices on real time.

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KW - finite state machines

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KW - Computational modeling

KW - Manufacturing

KW - Monitoring

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KW - Ontologies

KW - Service robots

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ER -

Knowledge-driven finite-state machines. Study case in monitoring industrial equipment

Abstract

Conference

Keywords

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Cite this