SOA based smartphone system for the fault detection in rotating machines

Julio Fernando Siguencia; Mariela Cerrada; Diego Cabrera; Rene Vinicio Sanchez

doi:10.1109/ANDESCON50619.2020.9272082

SOA based smartphone system for the fault detection in rotating machines

Julio Fernando Siguencia
, Mariela Cerrada
, Diego Cabrera
, Rene Vinicio Sanchez

Research and Development Group in Industrial Technologies (GIDTEC)

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

4 Scopus citations

Abstract

The information technologies are used as tools for predictive maintenance. They allow to anticipate any severe damage on industrial machines. This paper proposes a system for fault detection in rotating machines through the acquisition and processing of acoustic signals under the framework of service oriented architecture (SOA). The system takes advantage of resources such as mobile devices for the acquisition of acoustic signals, a computer server for data storage and processing, and web services as a service orchestrator between the mobile device and the processing stage. After the system implementation its functionality is evaluated in the fault detection of gearboxes, resulting in a high detection rate.

Original language	English
Title of host publication	2020 IEEE ANDESCON, ANDESCON 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728193656
DOIs	https://doi.org/10.1109/ANDESCON50619.2020.9272082
State	Published - 13 Oct 2020
Event	2020 IEEE ANDESCON - EC, Quito, Ecuador Duration: 13 Oct 2020 → 16 Oct 2020 https://ieeexplore.ieee.org/xpl/conhome/9271969/proceeding

Publication series

Name	2020 IEEE ANDESCON, ANDESCON 2020

Conference

Conference	2020 IEEE ANDESCON
Country/Territory	Ecuador
City	Quito
Period	13/10/20 → 16/10/20
Internet address	https://ieeexplore.ieee.org/xpl/conhome/9271969/proceeding

Bibliographical note

Funding Information:
Authors would like to thank the support provided by Universidad Politécnica Salesiana through the research group GIDTEC.

Publisher Copyright:
© 2020 IEEE.

Keywords

Information Technologies
Mobile Applications
Predictive Maintenance
SOA
Web Services

CACES Knowledge Areas

8116A Information Systems

Access to Document

10.1109/ANDESCON50619.2020.9272082

Cite this

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title = "SOA based smartphone system for the fault detection in rotating machines",

abstract = "The information technologies are used as tools for predictive maintenance. They allow to anticipate any severe damage on industrial machines. This paper proposes a system for fault detection in rotating machines through the acquisition and processing of acoustic signals under the framework of service oriented architecture (SOA). The system takes advantage of resources such as mobile devices for the acquisition of acoustic signals, a computer server for data storage and processing, and web services as a service orchestrator between the mobile device and the processing stage. After the system implementation its functionality is evaluated in the fault detection of gearboxes, resulting in a high detection rate.",

keywords = "Information Technologies, Mobile Applications, Predictive Maintenance, SOA, Web Services",

author = "Siguencia, \{Julio Fernando\} and Mariela Cerrada and Diego Cabrera and Sanchez, \{Rene Vinicio\}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE ANDESCON ; Conference date: 13-10-2020 Through 16-10-2020",

year = "2020",

month = oct,

day = "13",

doi = "10.1109/ANDESCON50619.2020.9272082",

language = "English",

series = "2020 IEEE ANDESCON, ANDESCON 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2020 IEEE ANDESCON, ANDESCON 2020",

address = "United States",

url = "https://ieeexplore.ieee.org/xpl/conhome/9271969/proceeding",

}

SOA based smartphone system for the fault detection in rotating machines. / Siguencia, Julio Fernando; Cerrada, Mariela; Cabrera, Diego et al.
2020 IEEE ANDESCON, ANDESCON 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9272082 (2020 IEEE ANDESCON, ANDESCON 2020).

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

TY - GEN

T1 - SOA based smartphone system for the fault detection in rotating machines

AU - Siguencia, Julio Fernando

AU - Cerrada, Mariela

AU - Cabrera, Diego

AU - Sanchez, Rene Vinicio

PY - 2020/10/13

Y1 - 2020/10/13

N2 - The information technologies are used as tools for predictive maintenance. They allow to anticipate any severe damage on industrial machines. This paper proposes a system for fault detection in rotating machines through the acquisition and processing of acoustic signals under the framework of service oriented architecture (SOA). The system takes advantage of resources such as mobile devices for the acquisition of acoustic signals, a computer server for data storage and processing, and web services as a service orchestrator between the mobile device and the processing stage. After the system implementation its functionality is evaluated in the fault detection of gearboxes, resulting in a high detection rate.

AB - The information technologies are used as tools for predictive maintenance. They allow to anticipate any severe damage on industrial machines. This paper proposes a system for fault detection in rotating machines through the acquisition and processing of acoustic signals under the framework of service oriented architecture (SOA). The system takes advantage of resources such as mobile devices for the acquisition of acoustic signals, a computer server for data storage and processing, and web services as a service orchestrator between the mobile device and the processing stage. After the system implementation its functionality is evaluated in the fault detection of gearboxes, resulting in a high detection rate.

KW - Information Technologies

KW - Mobile Applications

KW - Predictive Maintenance

KW - SOA

KW - Web Services

UR - https://www.scopus.com/pages/publications/85098583347

U2 - 10.1109/ANDESCON50619.2020.9272082

DO - 10.1109/ANDESCON50619.2020.9272082

M3 - Conference contribution

AN - SCOPUS:85098583347

T3 - 2020 IEEE ANDESCON, ANDESCON 2020

BT - 2020 IEEE ANDESCON, ANDESCON 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 IEEE ANDESCON

Y2 - 13 October 2020 through 16 October 2020

ER -

SOA based smartphone system for the fault detection in rotating machines

Abstract

Publication series

Conference

Bibliographical note

Keywords

CACES Knowledge Areas

Access to Document

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Cite this