@article{Bauer:2019:10.1021/acs.iecr.8b06354,
author = {Bauer, M and Auret, L and Bacci, di Capaci R and Horch, A and Thornhill, NF},
doi = {10.1021/acs.iecr.8b06354},
journal = {Industrial & Engineering Chemistry Research},
pages = {11430--11439},
title = {Industrial PID control loop data repository and comparison of fault detection methods},
url = {http://dx.doi.org/10.1021/acs.iecr.8b06354},
volume = {58},
year = {2019}
}

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TY  - JOUR
AB  - This paper presents the control loop data of industrial controllers that are recently made available online. All data is confirmed and some of it has been published previously to develop fault detection and diagnosis methods. Methods to detect faults that occur during the operation of an industrial process are important and have attracted attention previously but are not always widely used in industry. One of the reasons is that any method needs to be robust and fully automated. The purpose of the data repository is to present data to test methods so that false positives and negatives are reduced to an insignificant number. Three previously published methods – oscillation detection based on the autocorrelation function, the idle index and a method for quantization detection – together with a simple, novel saturation detection method and one new detection methods are applied to all industrial data. The results are discussed and ways to improve the robustness and automation potential of these methods.
AU  - Bauer,M
AU  - Auret,L
AU  - Bacci,di Capaci R
AU  - Horch,A
AU  - Thornhill,NF
DO  - 10.1021/acs.iecr.8b06354
EP  - 11439
PY  - 2019///
SN  - 0888-5885
SP  - 11430
TI  - Industrial PID control loop data repository and comparison of fault detection methods
T2  - Industrial & Engineering Chemistry Research
UR  - http://dx.doi.org/10.1021/acs.iecr.8b06354
UR  - https://sacac.org.za/resources/
UR  - https://pubs.acs.org/doi/10.1021/acs.iecr.8b06354
UR  - http://hdl.handle.net/10044/1/68628
VL  - 58
ER  - 

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