End-point device compressed air consumption analysis by reverse engineering algorithm

Rafal Cupek; Kamil Folkert; Lukasz Huczala; Dariusz Zonenberg; Jakub Tomczyk

doi:10.1109/IECON.2013.6700385

End-point device compressed air consumption analysis by reverse engineering algorithm

Rafal Cupek
, Kamil Folkert
, Lukasz Huczala
, Dariusz Zonenberg
, Jakub Tomczyk

Department of Distributed Systems and Informatic Devices (RAU/RAU8)

Silesian University of Technology
AIUT

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

7 Citations (Scopus)

Abstract

In this paper the authors present an original methodology that may be useful for dedicated online compressed air consumption analyses for end-point devices. Unlike the classical forward engineering approaches, which are based on a detailed compressed air system description, the presented solution is based on reverse engineering and needs very little initial data. The proposed analytical approach is based on observations of machine behaviour. The presented results can be easily applicable for the assessment of energy efficiency, monitoring the degradation parameters of machines and quickly detecting anomalies in existing compressed air end point devices.

Original language	English
Title of host publication	Proceedings, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society
Publisher	IEEE Computer Society
Pages	7519-7524
Number of pages	6
ISBN (Print)	9781479902248
DOIs	https://doi.org/10.1109/IECON.2013.6700385
Publication status	Published - 2013
Event	39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013 - Vienna, Austria Duration: 10 Nov 2013 → 14 Nov 2013

Publication series

Name	IECON Proceedings (Industrial Electronics Conference)
ISSN (Print)	2162-4704
ISSN (Electronic)	2577-1647

Conference

Conference	39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013
Country/Territory	Austria
City	Vienna
Period	10/11/13 → 14/11/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

clusterisation
compressed air systems
control systems
energy efficiency
serial data analisys

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/IECON.2013.6700385

Cite this

Cupek, R., Folkert, K., Huczala, L., Zonenberg, D., & Tomczyk, J. (2013). End-point device compressed air consumption analysis by reverse engineering algorithm. In Proceedings, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society (pp. 7519-7524). Article 6700385 (IECON Proceedings (Industrial Electronics Conference)). IEEE Computer Society. https://doi.org/10.1109/IECON.2013.6700385

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title = "End-point device compressed air consumption analysis by reverse engineering algorithm",

abstract = "In this paper the authors present an original methodology that may be useful for dedicated online compressed air consumption analyses for end-point devices. Unlike the classical forward engineering approaches, which are based on a detailed compressed air system description, the presented solution is based on reverse engineering and needs very little initial data. The proposed analytical approach is based on observations of machine behaviour. The presented results can be easily applicable for the assessment of energy efficiency, monitoring the degradation parameters of machines and quickly detecting anomalies in existing compressed air end point devices.",

keywords = "clusterisation, compressed air systems, control systems, energy efficiency, serial data analisys",

author = "Rafal Cupek and Kamil Folkert and Lukasz Huczala and Dariusz Zonenberg and Jakub Tomczyk",

year = "2013",

doi = "10.1109/IECON.2013.6700385",

language = "English",

isbn = "9781479902248",

series = "IECON Proceedings (Industrial Electronics Conference)",

publisher = "IEEE Computer Society",

pages = "7519--7524",

booktitle = "Proceedings, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society",

address = "United States",

note = "39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013 ; Conference date: 10-11-2013 Through 14-11-2013",

}

Cupek, R, Folkert, K, Huczala, L, Zonenberg, D & Tomczyk, J 2013, End-point device compressed air consumption analysis by reverse engineering algorithm. in Proceedings, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society., 6700385, IECON Proceedings (Industrial Electronics Conference), IEEE Computer Society, pp. 7519-7524, 39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013, Vienna, Austria, 10/11/13. https://doi.org/10.1109/IECON.2013.6700385

End-point device compressed air consumption analysis by reverse engineering algorithm. / Cupek, Rafal; Folkert, Kamil; Huczala, Lukasz et al.
Proceedings, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society. IEEE Computer Society, 2013. p. 7519-7524 6700385 (IECON Proceedings (Industrial Electronics Conference)).

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

TY - GEN

T1 - End-point device compressed air consumption analysis by reverse engineering algorithm

AU - Cupek, Rafal

AU - Folkert, Kamil

AU - Huczala, Lukasz

AU - Zonenberg, Dariusz

AU - Tomczyk, Jakub

PY - 2013

Y1 - 2013

N2 - In this paper the authors present an original methodology that may be useful for dedicated online compressed air consumption analyses for end-point devices. Unlike the classical forward engineering approaches, which are based on a detailed compressed air system description, the presented solution is based on reverse engineering and needs very little initial data. The proposed analytical approach is based on observations of machine behaviour. The presented results can be easily applicable for the assessment of energy efficiency, monitoring the degradation parameters of machines and quickly detecting anomalies in existing compressed air end point devices.

AB - In this paper the authors present an original methodology that may be useful for dedicated online compressed air consumption analyses for end-point devices. Unlike the classical forward engineering approaches, which are based on a detailed compressed air system description, the presented solution is based on reverse engineering and needs very little initial data. The proposed analytical approach is based on observations of machine behaviour. The presented results can be easily applicable for the assessment of energy efficiency, monitoring the degradation parameters of machines and quickly detecting anomalies in existing compressed air end point devices.

KW - clusterisation

KW - compressed air systems

KW - control systems

KW - energy efficiency

KW - serial data analisys

UR - https://www.scopus.com/pages/publications/84893605252

U2 - 10.1109/IECON.2013.6700385

DO - 10.1109/IECON.2013.6700385

M3 - Conference contribution

AN - SCOPUS:84893605252

SN - 9781479902248

T3 - IECON Proceedings (Industrial Electronics Conference)

SP - 7519

EP - 7524

BT - Proceedings, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society

PB - IEEE Computer Society

T2 - 39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013

Y2 - 10 November 2013 through 14 November 2013

ER -

Cupek R, Folkert K, Huczala L, Zonenberg D, Tomczyk J. End-point device compressed air consumption analysis by reverse engineering algorithm. In Proceedings, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society. IEEE Computer Society. 2013. p. 7519-7524. 6700385. (IECON Proceedings (Industrial Electronics Conference)). doi: 10.1109/IECON.2013.6700385

End-point device compressed air consumption analysis by reverse engineering algorithm

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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