Servitisation of fault diagnosis for mechanical equipment in cloud manufacturing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Standard

Servitisation of fault diagnosis for mechanical equipment in cloud manufacturing. / Yan, Junwei; Liu, Quan; Xu, Wenjun; Ji, Chunqian; Pham, Duc.

Proceedings IEEE 13th International Conference on Industrial Informatics (INDIN 2015). Institute of Electrical and Electronics Engineers (IEEE), 2015.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Harvard

Yan, J, Liu, Q, Xu, W, Ji, C & Pham, D 2015, Servitisation of fault diagnosis for mechanical equipment in cloud manufacturing. in Proceedings IEEE 13th International Conference on Industrial Informatics (INDIN 2015). Institute of Electrical and Electronics Engineers (IEEE), 2015 IEEE 13th International Conference on Industrial Informatics, Cambridge, United Kingdom, 22/06/15. https://doi.org/10.1109/INDIN.2015.7281799

APA

Yan, J., Liu, Q., Xu, W., Ji, C., & Pham, D. (2015). Servitisation of fault diagnosis for mechanical equipment in cloud manufacturing. In Proceedings IEEE 13th International Conference on Industrial Informatics (INDIN 2015) Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/INDIN.2015.7281799

Vancouver

Yan J, Liu Q, Xu W, Ji C, Pham D. Servitisation of fault diagnosis for mechanical equipment in cloud manufacturing. In Proceedings IEEE 13th International Conference on Industrial Informatics (INDIN 2015). Institute of Electrical and Electronics Engineers (IEEE). 2015 https://doi.org/10.1109/INDIN.2015.7281799

Author

Yan, Junwei ; Liu, Quan ; Xu, Wenjun ; Ji, Chunqian ; Pham, Duc. / Servitisation of fault diagnosis for mechanical equipment in cloud manufacturing. Proceedings IEEE 13th International Conference on Industrial Informatics (INDIN 2015). Institute of Electrical and Electronics Engineers (IEEE), 2015.

Bibtex

@inproceedings{a5cb8a8e3ab443c7bb62f8dc200620f2,
title = "Servitisation of fault diagnosis for mechanical equipment in cloud manufacturing",
abstract = "Faults in mechanical equipment could cause breakdown of time-critical production systems, which is very expensive in terms of production losses and re-commissioning costs. In cloud manufacturing, the scattered distribution of mechanical equipment and fault diagnosis resources, such as experts and specialist instruments, etc., could hinder the development of fault diagnosis systems. The idea of resource servitisation, aimed at resource sharing and collaboration, will lead fault diagnosis systems toward integration, low cost and high efficiency. This paper focuses on the servitisation of fault diagnosis for mechanical equipment in cloud manufacturing. A new service-oriented fault diagnosis system framework for mechanical equipment is proposed, together with a new servitisation method of fault diagnosis for mechanical equipment. Moreover, enabling technologies, e.g. XML, Web Services Definition Language (WSDL), Axis2, are also analysed. Finally, a prototype system is presented that demonstrates the feasibility and effectiveness of the developed architecture and servitisation method in a cloud manufacturing environment.",
keywords = "Fault diagnosis, Servitisation, Cloud manufacturing",
author = "Junwei Yan and Quan Liu and Wenjun Xu and Chunqian Ji and Duc Pham",
year = "2015",
doi = "10.1109/INDIN.2015.7281799",
language = "English",
isbn = "9781479966493",
booktitle = "Proceedings IEEE 13th International Conference on Industrial Informatics (INDIN 2015)",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
note = "2015 IEEE 13th International Conference on Industrial Informatics ; Conference date: 22-06-2015 Through 24-06-2015",

}

RIS

TY - GEN

T1 - Servitisation of fault diagnosis for mechanical equipment in cloud manufacturing

AU - Yan, Junwei

AU - Liu, Quan

AU - Xu, Wenjun

AU - Ji, Chunqian

AU - Pham, Duc

PY - 2015

Y1 - 2015

N2 - Faults in mechanical equipment could cause breakdown of time-critical production systems, which is very expensive in terms of production losses and re-commissioning costs. In cloud manufacturing, the scattered distribution of mechanical equipment and fault diagnosis resources, such as experts and specialist instruments, etc., could hinder the development of fault diagnosis systems. The idea of resource servitisation, aimed at resource sharing and collaboration, will lead fault diagnosis systems toward integration, low cost and high efficiency. This paper focuses on the servitisation of fault diagnosis for mechanical equipment in cloud manufacturing. A new service-oriented fault diagnosis system framework for mechanical equipment is proposed, together with a new servitisation method of fault diagnosis for mechanical equipment. Moreover, enabling technologies, e.g. XML, Web Services Definition Language (WSDL), Axis2, are also analysed. Finally, a prototype system is presented that demonstrates the feasibility and effectiveness of the developed architecture and servitisation method in a cloud manufacturing environment.

AB - Faults in mechanical equipment could cause breakdown of time-critical production systems, which is very expensive in terms of production losses and re-commissioning costs. In cloud manufacturing, the scattered distribution of mechanical equipment and fault diagnosis resources, such as experts and specialist instruments, etc., could hinder the development of fault diagnosis systems. The idea of resource servitisation, aimed at resource sharing and collaboration, will lead fault diagnosis systems toward integration, low cost and high efficiency. This paper focuses on the servitisation of fault diagnosis for mechanical equipment in cloud manufacturing. A new service-oriented fault diagnosis system framework for mechanical equipment is proposed, together with a new servitisation method of fault diagnosis for mechanical equipment. Moreover, enabling technologies, e.g. XML, Web Services Definition Language (WSDL), Axis2, are also analysed. Finally, a prototype system is presented that demonstrates the feasibility and effectiveness of the developed architecture and servitisation method in a cloud manufacturing environment.

KW - Fault diagnosis

KW - Servitisation

KW - Cloud manufacturing

U2 - 10.1109/INDIN.2015.7281799

DO - 10.1109/INDIN.2015.7281799

M3 - Conference contribution

SN - 9781479966493

BT - Proceedings IEEE 13th International Conference on Industrial Informatics (INDIN 2015)

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 2015 IEEE 13th International Conference on Industrial Informatics

Y2 - 22 June 2015 through 24 June 2015

ER -