A Statistical Feature-Based Approach for Operations Recognition in Drilling Time Series

Research output: Contribution to journal › Article › Research › peer-review

5620 Downloads (Pure)

Translated title of the contribution	A Statistical Feature-Based Approach for Operations Recognition in Drilling Time Series
Original language	English
Pages (from-to)	100-108
Journal	International Journal of Computer Information Systems and Industrial Management Applications
Volume	4
Issue number	6
Publication status	Published - 2012

Access to Document

@article{4459a5d0a7974b23a394a9381ec8c3c5,

title = "A Statistical Feature-Based Approach for Operations Recognition in Drilling Time Series",

author = "Bilal Esmael and Arghad Arnaout and Rudolf Fruhwirth and Gerhard Thonhauser",

year = "2012",

language = "English",

volume = "4",

pages = "100--108",

journal = "International Journal of Computer Information Systems and Industrial Management Applications ",

issn = "2150-7988",

publisher = "Cerebration Science Publishing",

number = "6",

}

TY - JOUR

T1 - A Statistical Feature-Based Approach for Operations Recognition in Drilling Time Series

AU - Esmael, Bilal

AU - Arnaout, Arghad

AU - Fruhwirth, Rudolf

AU - Thonhauser, Gerhard

PY - 2012

Y1 - 2012

M3 - Article

SN - 2150-7988

VL - 4

SP - 100

EP - 108

JO - International Journal of Computer Information Systems and Industrial Management Applications

JF - International Journal of Computer Information Systems and Industrial Management Applications

IS - 6

ER -