PREDICTION OF FAULTS IN TECHNICAL SYSTEMS BASED ON THE SIMILARITY MODEL OF THE REMAINING USEFUL LIFE

The article is devoted to the description of management capabilities in autonomous telecommunicationsystems using ontologies of intents. In modern telecommunication networks, there are trends towardsdecentralization of systems and endowing their components with the ability to operate autonomously,while the business logic of their operation is determined at the system level, which in many cases requiresinteraction between several or many system components acting as service providers or consumers.The article considers autonomous networks managed using the TMN model (from the English TelecommunicationManagement Network - telecommunication management network), which is a multi-level modelthat includes levels of business management, services, telecommunication network and its components.To manage networks in the paradigm of service providers and consumers, the international associationuniting service providers and their consumers in the field of telecommunications TMForum has developeda concept based on the use of ontologies of intents (Intent in Autonomous Networks), which allow formulatingmanagement tasks in autonomous networks by defining criteria for managing networks and theirelements from the point of view of the intentions of the participants in the interaction to receive and provideservices. Due to the fact that the ontology of intentions is described in the OWL format, which representsit as a semantic network of interconnected classes, the article proposes to use a telecommunicationnetwork model in the form of a knowledge graph for managing telecommunication networks, which isassociated with both the domain ontology of telecommunication networks and the ontology of intentions,which ensures the autonomy of network components due to management using intentions, and the use of adomain ontology in the field of telecommunication networks facilitates integration with third-party suppliersand consumers of the operator's services. The proposed approach to jointly using the ontology of intentions,policies and a network model in the form of a knowledge graph for managing telecommunicationnetworks at the business level is new and its applicability is shown in the article using the example of implementingthe registration process and fulfilling an application for connecting a telecommunication service.The considered example shows the possibility of jointly using a telecommunication network model inthe form of a knowledge graph built on the basis of a domain ontology and an ontology of intentions whenperforming high-level business processes for managing an autonomous telecommunication network.

Authors

Publication Details

Journal
Izvestiâ ÛFU. Tehničeskie nauki
Published
2024-12-28
DOI
https://doi.org/10.18522/2311-3103-2024-6-142-155
Primary Topic
Engineering Diagnostics and Reliability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PREDICTION OF FAULTS IN TECHNICAL SYSTEMS BASED ON THE SIMILARITY MODEL OF THE REMAINING USEFUL LIFE

Yuri A. Korablev
Izvestiâ ÛFU. Tehničeskie nauki
Engineering Diagnostics and Reliability
article

PREDICTION OF FAULTS IN TECHNICAL SYSTEMS BASED ON THE SIMILARITY MODEL OF THE REMAINING USEFUL LIFE

Yuri A. Korablev
article en

Abstract

The article is devoted to the description of management capabilities in autonomous telecommunicationsystems using ontologies of intents. In modern telecommunication networks, there are trends towardsdecentralization of systems and endowing their components with the ability to operate autonomously,while the business logic of their operation is determined at the system level, which in many cases requiresinteraction between several or many system components acting as service providers or consumers.The article considers autonomous networks managed using the TMN model (from the English TelecommunicationManagement Network - telecommunication management network), which is a multi-level modelthat includes levels of business management, services, telecommunication network and its components.To manage networks in the paradigm of service providers and consumers, the international associationuniting service providers and their consumers in the field of telecommunications TMForum has developeda concept based on the use of ontologies of intents (Intent in Autonomous Networks), which allow formulatingmanagement tasks in autonomous networks by defining criteria for managing networks and theirelements from the point of view of the intentions of the participants in the interaction to receive and provideservices. Due to the fact that the ontology of intentions is described in the OWL format, which representsit as a semantic network of interconnected classes, the article proposes to use a telecommunicationnetwork model in the form of a knowledge graph for managing telecommunication networks, which isassociated with both the domain ontology of telecommunication networks and the ontology of intentions,which ensures the autonomy of network components due to management using intentions, and the use of adomain ontology in the field of telecommunication networks facilitates integration with third-party suppliersand consumers of the operator's services. The proposed approach to jointly using the ontology of intentions,policies and a network model in the form of a knowledge graph for managing telecommunicationnetworks at the business level is new and its applicability is shown in the article using the example of implementingthe registration process and fulfilling an application for connecting a telecommunication service.The considered example shows the possibility of jointly using a telecommunication network model inthe form of a knowledge graph built on the basis of a domain ontology and an ontology of intentions whenperforming high-level business processes for managing an autonomous telecommunication network.

Izvestiâ ÛFU. Tehničeskie nauki(6)
Climate action
Openalex Percentile: Top 71%
Engineering Diagnostics and Reliability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.