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murat kulahci
murat kulahci
Technical Unversity of Denmark and Luleå University of Technology
Verified email at dtu.dk
Title
Cited by
Cited by
Year
Introduction to time series analysis and forecasting
DC Montgomery, CL Jennings, M Kulahci
John Wiley & Sons, 2015
25372015
Time series analysis and forecasting by example
S Bisgaard, M Kulahci
John Wiley & Sons, 2011
3582011
Real-time fault detection and diagnosis using sparse principal component analysis
S Gajjar, M Kulahci, A Palazoglu
Journal of Process Control 67, 112-128, 2018
1452018
On the structure of dynamic principal component analysis used in statistical process monitoring
E Vanhatalo, M Kulahci, B Bergquist
Chemometrics and intelligent laboratory systems 167, 1-11, 2017
922017
A taxonomy of railway track maintenance planning and scheduling: A review and research trends
M Sedghi, O Kauppila, B Bergquist, E Vanhatalo, M Kulahci
Reliability Engineering & System Safety 215, 107827, 2021
672021
The Effect of Autocorrelation on the Hotelling T2 Control Chart
E Vanhatalo, M Kulahci
Quality and Reliability Engineering International 31 (8), 1779-1796, 2015
592015
Impact of autocorrelation on principal components and their use in statistical process control
E Vanhatalo, M Kulahci
Quality and Reliability Engineering International 32 (4), 1483-1500, 2016
562016
Time series analysis and forecasting
DC Montgomery, CL Jennings, M Kulahci
An Introduction to Management Science: Quantitative Approaches to Decision …, 2015
542015
An extended Tennessee Eastman simulation dataset for fault-detection and decision support systems
C Reinartz, M Kulahci, O Ravn
Computers & chemical engineering 149, 107281, 2021
512021
Quality quandaries: the effect of autocorrelation on statistical process control procedures
S Bisgaard, M Kulahci
Quality Engineering 17 (3), 481-489, 2005
512005
The role of big data in industrial (bio) chemical process operations
IA Udugama, CL Gargalo, Y Yamashita, MA Taube, A Palazoglu, ...
Industrial & Engineering Chemistry Research 59 (34), 15283-15297, 2020
492020
The revised Tennessee Eastman process simulator as testbed for SPC and DoE methods
F Capaci, E Vanhatalo, M Kulahci, B Bergquist
Quality Engineering 31 (2), 212-229, 2019
462019
Recent advances and future directions for quality engineering
G Vining, M Kulahci, S Pedersen
Quality and Reliability Engineering International 32 (3), 863-875, 2016
422016
Pig herd monitoring and undesirable tripping and stepping prevention
R Gronskyte, LH Clemmensen, MS Hviid, M Kulahci
Computers and Electronics in Agriculture 119, 51-60, 2015
382015
Monitoring pig movement at the slaughterhouse using optical flow and modified angular histograms
R Gronskyte, LH Clemmensen, MS Hviid, M Kulahci
Biosystems Engineering 141, 19-30, 2016
372016
The use of Plackett–Burman designs to construct split-plot designs
M Kulahci, S Bisgaard
Technometrics 47 (4), 495-501, 2005
352005
Selection of non-zero loadings in sparse principal component analysis
S Gajjar, M Kulahci, A Palazoglu
Chemometrics and Intelligent Laboratory Systems 162, 160-171, 2017
342017
iCFD: interpreted computational fluid dynamics–degeneration of CFD to one-dimensional advection-dispersion models using statistical experimental design–the secondary clarifier
E Guyonvarch, E Ramin, M Kulahci, BG Plósz
Water Research 83, 396-411, 2015
322015
Split-plot fractional designs: is minimum aberration enough?
M Kulahci, JG Ramírez, R Tobias
Journal of Quality Technology 38 (1), 56-64, 2006
312006
A model‐free approach to eliminate autocorrelation when testing for process capability
K Vännman, M Kulahci
Quality and Reliability Engineering International 24 (2), 213-228, 2008
292008
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