Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

Utilizing the Evidential Reasoning approach to determine a suitable wireless sensor network orientation for asset integrity monitoring of an offshore gas turbine driven generator

Loughney, S, Wang, J, Matellini, DB and Nguyen, TT (2021) Utilizing the Evidential Reasoning approach to determine a suitable wireless sensor network orientation for asset integrity monitoring of an offshore gas turbine driven generator. Expert Systems with Applications. ISSN 0957-4174

[img] Text
MANUSCRIPT ESWA-D-19-04043R1_Accepted.pdf - Accepted Version
Restricted to Repository staff only until 13 July 2022.
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (632kB)

Abstract

This research proposes the most ideal Wireless Sensor Network (WSN) topology for remote integrity monitoring of an offshore gas turbine driven generator. The intention is to design the structure of a number of WSNs within the electrical generation system with varying connection types and methods of relaying data. The research is concerned only with the design of the WSNs, i.e. the hardware and orientation of the sensor nodes and not the software, programming or data protection. This will potentially provide a good base, once an ideal WSN design is determined, to expand the network further incorporating more criteria and develop the necessary software to complete the WSN. The work applies the Evidential Reasoning approach to a number of WSN topologies in order to determine the most suitable based upon an outlined set of performance criteria. Axiom based validation of the methodology is also provided within the analysis.

Item Type: Article
Uncontrolled Keywords: 01 Mathematical Sciences, 08 Information and Computing Sciences, 09 Engineering
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TC Hydraulic engineering. Ocean engineering
T Technology > TP Chemical technology
Divisions: Engineering
Publisher: Elsevier
Date Deposited: 19 Jul 2021 10:16
Last Modified: 04 Sep 2021 05:13
DOI or Identification number: 10.1016/j.eswa.2021.115583
URI: https://researchonline.ljmu.ac.uk/id/eprint/15302

Actions (login required)

View Item View Item