Prediction on friction characteristics of industrial brakes using artificial neural networks

Wojciech Grzegorzek; Stanislaw F. Scieszka

Prediction on friction characteristics of industrial brakes using artificial neural networks

Wojciech Grzegorzek
, Stanislaw F. Scieszka

Department of Mining Mechanization and Robotisation (RG/RG2)

Silesian University of Technology

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

Original language	English
Title of host publication	5th World Tribology Congress, WTC 2013
Publisher	Politecnico di Torino (DIMEAS)
Pages	1268-1271
Number of pages	4
ISBN (Electronic)	9781634393522
Publication status	Published - 2013
Event	5th World Tribology Congress, WTC 2013 - Torino, Italy Duration: 8 Sept 2013 → 13 Sept 2013

Publication series

Name	5th World Tribology Congress, WTC 2013
Volume	2

Conference

Conference	5th World Tribology Congress, WTC 2013
Country/Territory	Italy
City	Torino
Period	8/09/13 → 13/09/13

ASJC Scopus subject areas

Process Chemistry and Technology
Mechanical Engineering

Cite this

@inproceedings{405e24c2a98c4a559223b68023e1e1e9,

title = "Prediction on friction characteristics of industrial brakes using artificial neural networks",

author = "Wojciech Grzegorzek and Scieszka, \{Stanislaw F.\}",

year = "2013",

language = "English",

series = "5th World Tribology Congress, WTC 2013",

publisher = "Politecnico di Torino (DIMEAS)",

pages = "1268--1271",

booktitle = "5th World Tribology Congress, WTC 2013",

note = "5th World Tribology Congress, WTC 2013 ; Conference date: 08-09-2013 Through 13-09-2013",

}

Prediction on friction characteristics of industrial brakes using artificial neural networks. / Grzegorzek, Wojciech; Scieszka, Stanislaw F.
5th World Tribology Congress, WTC 2013. Politecnico di Torino (DIMEAS), 2013. p. 1268-1271 (5th World Tribology Congress, WTC 2013; Vol. 2).

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

TY - GEN

T1 - Prediction on friction characteristics of industrial brakes using artificial neural networks

AU - Grzegorzek, Wojciech

AU - Scieszka, Stanislaw F.

PY - 2013

Y1 - 2013

UR - https://www.scopus.com/pages/publications/84919639253

M3 - Conference contribution

AN - SCOPUS:84919639253

T3 - 5th World Tribology Congress, WTC 2013

SP - 1268

EP - 1271

BT - 5th World Tribology Congress, WTC 2013

PB - Politecnico di Torino (DIMEAS)

T2 - 5th World Tribology Congress, WTC 2013

Y2 - 8 September 2013 through 13 September 2013

ER -

Prediction on friction characteristics of industrial brakes using artificial neural networks

Publication series

Conference

ASJC Scopus subject areas

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Cite this