TY - JOUR
T1 - Ontology-Based Framework Enabling Smart Product-Service Systems
T2 - Application of Sensing Systems for Machine Health Monitoring
AU - Maleki, Elaheh
AU - Belkadi, Farouk
AU - Boli, Nikoletta
AU - Van Der Zwaag, Berend Jan
AU - Alexopoulos, Kosmas
AU - Koukas, Spyridon
AU - Marin-Perianu, Mihai
AU - Bernard, Alain
AU - Mourtzis, Dimitris
PY - 2018/12
Y1 - 2018/12
N2 - Providing an integrated product-service system (PSS) supported by cyber-physical systems, as a smart solution, is increasingly offered by industrial machinery. In this approach, instead of providing products with after-sale services, the value proposition is mostly based on guaranteeing a trustable operation. As a result, capturing and analyzing information from a machine's condition during its lifespan becomes an essential part of the smart PSS. Enabling this through lifecycle monitoring, sensing devices are at the core of smart PSS. Thus, the optimal configuration of PSS components is a critical step to ensure the efficiency of the solution. PSS design challenges arise because of the differences between characteristics and specifications of the embedded sensing system and the product. To fulfill this challenge, knowledge extraction and reuse from these domains is crucial during the design process. To do so, a sensor ontology is used as the backbone of the PSS knowledge-based framework. The focus of this paper is on defining the embedded sensing systems tailored to industrial PSS and the use of these systems in providing customized services. As part of the ICP4Life platform, this paper presents a sensing system ontology as a framework to support the smart services in industrial machinery PSS. An industrial use case is conducted to validate the efficiency of the proposed ontology and to show the benefits of the ICP4Life platform to reduce time and cost of PSS development processes.
AB - Providing an integrated product-service system (PSS) supported by cyber-physical systems, as a smart solution, is increasingly offered by industrial machinery. In this approach, instead of providing products with after-sale services, the value proposition is mostly based on guaranteeing a trustable operation. As a result, capturing and analyzing information from a machine's condition during its lifespan becomes an essential part of the smart PSS. Enabling this through lifecycle monitoring, sensing devices are at the core of smart PSS. Thus, the optimal configuration of PSS components is a critical step to ensure the efficiency of the solution. PSS design challenges arise because of the differences between characteristics and specifications of the embedded sensing system and the product. To fulfill this challenge, knowledge extraction and reuse from these domains is crucial during the design process. To do so, a sensor ontology is used as the backbone of the PSS knowledge-based framework. The focus of this paper is on defining the embedded sensing systems tailored to industrial PSS and the use of these systems in providing customized services. As part of the ICP4Life platform, this paper presents a sensing system ontology as a framework to support the smart services in industrial machinery PSS. An industrial use case is conducted to validate the efficiency of the proposed ontology and to show the benefits of the ICP4Life platform to reduce time and cost of PSS development processes.
KW - Cyber-physical systems (CPSs)
KW - Machine health monitoring (MHM)
KW - Ontology-based framework
KW - Product-service system (PSS)
KW - Smart sensing system
UR - http://www.scopus.com/inward/record.url?scp=85046356322&partnerID=8YFLogxK
U2 - 10.1109/JIOT.2018.2831279
DO - 10.1109/JIOT.2018.2831279
M3 - Article
AN - SCOPUS:85046356322
SN - 2327-4662
VL - 5
SP - 4496
EP - 4505
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
IS - 6
M1 - 8352684
ER -