A smart modular wireless system for condition monitoring data acquisition

Anna Lito Michala; Ioannis Vourganas

A smart modular wireless system for condition monitoring data acquisition

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

123 Downloads (Pure)

Abstract

Smart sensors, big data, the cloud and distributed data processing are some of the most interning changes in the way we collect, manage and treat data in recent years. These changes have not significantly influenced the common practices in condition monitoring for shipping. In part this is due to the reduced trust in data security, data ownership issues, lack of technological integration and obscurity of direct benefit. This paper presents a method of incorporating smart sensor techniques and distributed processing in data acquisition for condition monitoring to assist decision support for maintenance actions addressing these inhibitors.

Original language	English
Title of host publication	16th International Conference on Computer and IT Applications in the Maritime Industries
Subtitle of host publication	Compit'17
Editors	Volker Bertram
Place of Publication	Hamburg
Pages	212-225
Number of pages	14
Publication status	Published - 15 May 2017
Event	16th International Conference on Computer and IT Applications in the Maritime Industries - Angel Hotel, Cardiff, United Kingdom Duration: 15 May 2017 → 17 May 2017 Conference number: 16 http://www.compit.info/

Conference

Conference	16th International Conference on Computer and IT Applications in the Maritime Industries
Abbreviated title	COMPIT
Country	United Kingdom
City	Cardiff
Period	15/05/17 → 17/05/17
Internet address	http://www.compit.info/

Keywords

maintenance
condition monitoring
decision support
data acquisition
wireless
smart modular system

Access to Document

Michala-Vourganas-2017-Smart-modular-wireless-system-for-condition-monitoring-data-acquisitionAccepted author manuscript, 0.98 MB

Fingerprint Dive into the research topics of 'A smart modular wireless system for condition monitoring data acquisition'. Together they form a unique fingerprint.

Cite this

@inproceedings{67245ab6a5de456a8fb2a58ebc9474be,

title = "A smart modular wireless system for condition monitoring data acquisition",

abstract = "Smart sensors, big data, the cloud and distributed data processing are some of the most interning changes in the way we collect, manage and treat data in recent years. These changes have not significantly influenced the common practices in condition monitoring for shipping. In part this is due to the reduced trust in data security, data ownership issues, lack of technological integration and obscurity of direct benefit. This paper presents a method of incorporating smart sensor techniques and distributed processing in data acquisition for condition monitoring to assist decision support for maintenance actions addressing these inhibitors.",

keywords = "maintenance, condition monitoring, decision support , data acquisition, wireless, smart modular system",

author = "Michala, {Anna Lito} and Ioannis Vourganas",

year = "2017",

month = may,

day = "15",

language = "English",

isbn = "9783892207016",

pages = "212--225",

editor = "Volker Bertram",

booktitle = "16th International Conference on Computer and IT Applications in the Maritime Industries",

note = "16th International Conference on Computer and IT Applications in the Maritime Industries, COMPIT ; Conference date: 15-05-2017 Through 17-05-2017",

url = "http://www.compit.info/",

}

Michala, AL & Vourganas, I 2017, A smart modular wireless system for condition monitoring data acquisition. in V Bertram (ed.), 16th International Conference on Computer and IT Applications in the Maritime Industries: Compit'17. Hamburg, pp. 212-225, 16th International Conference on Computer and IT Applications in the Maritime Industries, Cardiff, United Kingdom, 15/05/17.

TY - GEN

T1 - A smart modular wireless system for condition monitoring data acquisition

AU - Michala, Anna Lito

AU - Vourganas, Ioannis

N1 - Conference code: 16

PY - 2017/5/15

Y1 - 2017/5/15

N2 - Smart sensors, big data, the cloud and distributed data processing are some of the most interning changes in the way we collect, manage and treat data in recent years. These changes have not significantly influenced the common practices in condition monitoring for shipping. In part this is due to the reduced trust in data security, data ownership issues, lack of technological integration and obscurity of direct benefit. This paper presents a method of incorporating smart sensor techniques and distributed processing in data acquisition for condition monitoring to assist decision support for maintenance actions addressing these inhibitors.

AB - Smart sensors, big data, the cloud and distributed data processing are some of the most interning changes in the way we collect, manage and treat data in recent years. These changes have not significantly influenced the common practices in condition monitoring for shipping. In part this is due to the reduced trust in data security, data ownership issues, lack of technological integration and obscurity of direct benefit. This paper presents a method of incorporating smart sensor techniques and distributed processing in data acquisition for condition monitoring to assist decision support for maintenance actions addressing these inhibitors.

KW - maintenance

KW - condition monitoring

KW - decision support

KW - data acquisition

KW - wireless

KW - smart modular system

UR - http://compit.hiper-conf.info/

UR - http://data.hiper-conf.info/compit2017_cardiff.pdf

M3 - Conference contribution book

SN - 9783892207016

SP - 212

EP - 225

BT - 16th International Conference on Computer and IT Applications in the Maritime Industries

A2 - Bertram, Volker

CY - Hamburg

T2 - 16th International Conference on Computer and IT Applications in the Maritime Industries

Y2 - 15 May 2017 through 17 May 2017

ER -