Fleet-wide condition monitoring combining vibration signal processing and machine learning rolled out in a cloudcomputing environment

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

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Original language	English
Title of host publication	Fleet-wide condition monitoring combining vibration signal processing and machine learning rolled out in a cloudcomputing environment
Pages	1-6
Number of pages	6
Publication status	Published - 2018
Event	ISMA 2018 - Duration: 17 Sept 2018 → 19 Sept 2018 https://www.isma-isaac.be/isma2018/

Access to Document

@inproceedings{c6e3864eb6f44275a8635724f767a149,

title = "Fleet-wide condition monitoring combining vibration signal processing and machine learning rolled out in a cloudcomputing environment",

author = "Jan Helsen and C{\'e}dric Peeters and Timothy Verstraeten and Nicoletta Gioia and Ann Nowe",

year = "2018",

language = "English",

pages = "1--6",

booktitle = "Fleet-wide condition monitoring combining vibration signal processing and machine learning rolled out in a cloudcomputing environment",

note = "ISMA 2018 ; Conference date: 17-09-2018 Through 19-09-2018",

url = "https://www.isma-isaac.be/isma2018/",

}

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

TY - GEN

T1 - Fleet-wide condition monitoring combining vibration signal processing and machine learning rolled out in a cloudcomputing environment

AU - Helsen, Jan

AU - Peeters, Cédric

AU - Verstraeten, Timothy

AU - Gioia, Nicoletta

AU - Nowe, Ann

PY - 2018

Y1 - 2018

M3 - Conference paper

SP - 1

EP - 6

BT - Fleet-wide condition monitoring combining vibration signal processing and machine learning rolled out in a cloudcomputing environment

T2 - ISMA 2018

Y2 - 17 September 2018 through 19 September 2018

ER -