Picture of boy being examining by doctor at a tuberculosis sanatorium

Understanding our future through Open Access research about our past...

Strathprints makes available scholarly Open Access content by researchers in the Centre for the Social History of Health & Healthcare (CSHHH), based within the School of Humanities, and considered Scotland's leading centre for the history of health and medicine.

Research at CSHHH explores the modern world since 1800 in locations as diverse as the UK, Asia, Africa, North America, and Europe. Areas of specialism include contraception and sexuality; family health and medical services; occupational health and medicine; disability; the history of psychiatry; conflict and warfare; and, drugs, pharmaceuticals and intoxicants.

Explore the Open Access research of the Centre for the Social History of Health and Healthcare. Or explore all of Strathclyde's Open Access research...

Image: Heart of England NHS Foundation Trust. Wellcome Collection - CC-BY.

Ship machinery and equipment wireless condition monitoring system

Michala, A. L. and Lazakis, I. (2016) Ship machinery and equipment wireless condition monitoring system. In: International Conference on Maritime Safety and Operations. University of Strathclyde Publishing, Glasgow, pp. 63-69. ISBN 9781909522169

[img]
Preview
Text (Michala-Lazakis-MSO2016-Ship-machinery-and-equipment-wireless-condition-monitoring-system)
Michala_Lazakis_MSO2016_Ship_machinery_and_equipment_wireless_condition_monitoring_system.pdf
Final Published Version
License: All rights reserved

Download (416kB) | Preview

Abstract

Condition based maintenance (CBM) is a maintenance approach that has been proven to provide significant reduction in maintenance cost and associated risk. Several industries such as aerospace and power generation have incorporated CBM and have been driving the developments in progressively better diagnostic and prognostic maintenance management. Other benefits that can be linked with appropriate use of CBM include better management of the operational characteristics of the vessel, reduction of emissions and energy efficiency. However in the maritime industry this is not the case. Less than 2% of the global fleet of vessels is utilising CBM (Shorten, 2012). This can be associated with several factors that inhibit the implementation of CBM in vessels. The most important of those are the cost of installation, the capital investment in training staff and the lack of trust in the prediction capabilities of the technology. This paper presents a novel method based on wireless data transmission which can demonstrate reduced installation costs. Moreover, as part of the INCASS (Inspection Capabilities for Enhanced Ship Safety) EU FP7 project, this paper presents a novel decision support system (DSS) solution that can be used onboard a ship with minimal initial training. The reliable user friendly graphical interface (GUI) developed in Java language provides relevant and on-time information for maintenance decision support. The combination of the developed hardware and software give a complete solution that can be applied to vessels while minimising investment costs and training.