Semantic Knowledge Based Approach for Product Maintenance Support (original) (raw)

Towards A Maintenance Semantic Architecture

Engineering Asset Lifecycle Management, 2010

Technological and software progress with the evolution of processes within company have highlighted the need to evolve systems of maintenance process from autonomous systems to cooperative and sharing information' system based on software platform. However, this need gives rise to various maintenance platforms. The first part of this study investigates the different types of existing industrial platforms and characterizes them compared to two criteria namely: information exchange and relationship intensity. This allowed identifying the e-maintenance architecture as the current most efficient architecture. Despite its effectiveness, this latter can only guarantee technical interoperability between various components. Therefore, the second part of this study proposes a semantic-knowledge based architecture, thereby ensuring a higher level of semantic interoperability. To this end, specific maintenance ontology has been developed.

Toward a maintenance semantic architecture

An Ontology-based model for providing Semantic Maintenance

Maintenance is becoming more and more crucial in Asset Lifecycle Management information models. Issues such as collecting, handling and using the asset data produced during its lifecycle in a lean and efficient manner are on top of today's research. Customer satisfaction, compliance with environmental friendly legislation, product quality, high performance and reliability are only a few of the benefits improved maintenance methods and tools may provide to enterprises. In this work we combine the benefits of two previous developed models and we develop a model for Semantic Maintenance. The first model we are based on is the PROMISE semantic object model which was made for supporting Closed-Loop Product Lifecycle Management. The second model is the semantic model of e-maintenance developed in PROTEUS project. The new model described in this paper is named “SMAC-Model”. Its aim is to provide advanced maintenance services as well as feedback for the Beginning of Life and input for E...

Semantic Technologies in System Maintenance (STSM 2008)

… , 2008. ICPC 2008. The …, 2008

This paper gives a brief overview of the international workshop on semantic technologies in system maintenance. It describes a number of semantic technologies (eg, ontologies, text mining, and knowledge integration techniques) and identifies diverse tasks in software maintenance where the use of semantic technologies can be beneficial, such as traceability, system comprehension, software artifact analysis, and information integration.

Design and development of Knowledge Based System for Integrated Maintenance Strategy and Operations

Concurrent Engineering, 2016

The importance of maintenance has escalated significantly by the increase in automation in manufacturing processes. This condition changed the perspective of maintenance from being considered as an inevitable cost to being seen as a key business function to drive competitiveness. Consequently, maintenance decisions need to be aligned with the business competitive strategy as well as the requirements of manufacturing/quality functions in order to support manufacturing equipment performance. Therefore, it is required to synchronise the maintenance strategy and operations with business and manufacturing/quality aspects. This article presents the design and development of a Knowledge Based System for Integrated Maintenance Strategy and Operations. The developed framework of the Knowledge Based System for Integrated Maintenance Strategy and Operations is elaborated to show how the Knowledge Based System for Integrated Maintenance Strategy and Operations can be applied to support maintena...

A formal ontology for semantics in maintenance platforms

The rapid advancement of information and communication technologies has resulted in a variety of maintenance support systems and tools covering all sub-domains of maintenance. Most of these systems are based on different models that are sometimes redundant or incoherent and always heterogeneous. This problem has lead to the development of maintenance platforms integrating all of these support systems. The main problem confronted by these integration platforms is to provide semantic interoperability between different applications within the same environment. In this aim, we have developed an ontology for the field of industrial maintenance, adopting the METHONTOLOGY approach to manage the life cycle development of this ontology, that we have called IMAMO (Industrial MAintenance Management Ontology). This ontology can be used not only to ensure semantic interoperability but also to generate new knowledge that supports decision making in the maintenance process. This paper provides and discusses some tests so as to evaluate the ontology and to show how it can ensure semantic interoperability and generate new knowledge within the platform.

Semantic Data Model for Operation and Maintenance of the Engineering Asset

IFIP Advances in Information and Communication Technology, 2013

The management of engineering assets within an organization is a challenging task that aims to optimize their performance through efficient decision making. However, the current asset data management systems suffer from poor system interoperability, data integration issues as well as an enormous amount of stored data, thus preventing a seamless flow of information. The aim of this work is to propose a semantic data model for engineering asset management, focusing on the operation and maintenance phase of its life cycle. Ontologies are proposed because they can capture the semantics of data, create a shared vocabulary to describe the knowledge for sharing in the domain and provide reasoning capabilities. This model will gather all the knowledge necessary to assist in the decision making process in order to improve the asset's availability, longevity and quality of operations.

A formal ontology for industrial maintenance

2012

Ontological Approach for Organisational Knowledge Re-use in Product Developing Environments

2005

This paper discusses the theoretical aspects and applications of a novel methodology for exploiting a knowledge management editor tool to structure organisational knowledge. An organisational knowledge framework for capturing and representing "manufacturing know-how" has been developed using an ontological approach. The delivery mechanism for the application of the captured knowledge makes extensive use of web-based technologies. The captured knowledge is converted into an industry-standard format and then shared within a web-centric, Product Lifecycle Management (PLM) environment. The integrated knowledge encapsulation and knowledge distribution and management approach is used to support collaborative and distributed product development global basis.

PRODUCT KNOWLEDGE MANAGEMENT WITHIN KNOWLEDGE-BASED ENGINEERING SYSTEMS.

Knowledge-based engineering systems are now becoming more commonplace in engineering industry. There is a need to ensure the technology is used correctly and to provide the user with all the possible benefits that the system can offer. This paper looks at how product knowledge can be managed within knowledge-based engineering systems to ensure that the knowledge retains its value and usefulness during the product lifecycle. Presently, the use of these systems has been for the short-term benefit of the company. However, it is believed that it is important to consider longer-term issues also, since knowledge normally has a half-life of around 20 years. The main aim of this paper is to demonstrate the need for product knowledge management within knowledge-based engineering systems by looking at key issues that are related to the longer-term use of these systems. This paper will also provide a product knowledge management scheme for the development and management of product knowledge within knowledge-based engineering systems, thereby extending the benefits of knowledge-based engineering systems into the longer-term.

Semantic Knowledge Based Approach for Product Maintenance Support (original) (raw)

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