A Distributed Framework for Knowledge-Driven Root-Cause Analysis on Evolving Alarm Data-An Industrial Case Study

Root-cause Analysis (RCA) of alarms is a well-established research area in automated Production Systems (aPS). Many RCA algorithms have been proposed and successfully evaluated and new ones are being developed. Recently, researchers focus on the incorporation of formalized information about the tech...

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Published in:IEEE robotics and automation letters Vol. 8; no. 6; pp. 3732 - 3739
Main Authors: Wilch, Jan, Vogel-Heuser, Birgit, Mager, Jens, Cendelin, Rostislav, Fett, Thomas, Hsieh, Yu-Ming, Cheng, Fan-Tien
Format: Journal Article
Language:English
Published: Piscataway IEEE 01.06.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Alarms
Algorithms
Big Data in robotics and automation
Case studies
Cloud computing
Computer architecture
Industrial applications
Manuals
Manufacturing
Preprocessing
Process control
Production systems
Reliability
Root cause analysis
Software architecture for robotic and automation
ISSN:2377-3766, 2377-3766
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Abstract Root-cause Analysis (RCA) of alarms is a well-established research area in automated Production Systems (aPS). Many RCA algorithms have been proposed and successfully evaluated and new ones are being developed. Recently, researchers focus on the incorporation of formalized information about the technical process in the analysis to gather further evidence for common root causes. In industrial applications, alarm data are usually preprocessed to accommodate for use case-specific properties and prepare subsequent analysis steps. Consequently, this letter proposes a generalized RCA framework, for which an arbitrary number of preprocessing, data-driven RCA, and postprocessing algorithms can be selected, to support varying use cases. The framework was successfully evaluated in an industrial case study, using 1.8 million alarms recorded over 450 days from an industrial nonwoven production plant and analyzed using formalized information from process documentation and expert interviews. Seven preprocessing algorithms, one data-driven RCA algorithm, and nine postprocessing algorithms typical for continuous and hybrid technical processes were realized in an otherwise entirely use case-agnostic implementation.
AbstractList Root-cause Analysis (RCA) of alarms is a well-established research area in automated Production Systems (aPS). Many RCA algorithms have been proposed and successfully evaluated and new ones are being developed. Recently, researchers focus on the incorporation of formalized information about the technical process in the analysis to gather further evidence for common root causes. In industrial applications, alarm data are usually preprocessed to accommodate for use case-specific properties and prepare subsequent analysis steps. Consequently, this letter proposes a generalized RCA framework, for which an arbitrary number of preprocessing, data-driven RCA, and postprocessing algorithms can be selected, to support varying use cases. The framework was successfully evaluated in an industrial case study, using 1.8 million alarms recorded over 450 days from an industrial nonwoven production plant and analyzed using formalized information from process documentation and expert interviews. Seven preprocessing algorithms, one data-driven RCA algorithm, and nine postprocessing algorithms typical for continuous and hybrid technical processes were realized in an otherwise entirely use case-agnostic implementation.
Author Fett, Thomas
Vogel-Heuser, Birgit
Cheng, Fan-Tien
Hsieh, Yu-Ming
Wilch, Jan
Cendelin, Rostislav
Mager, Jens
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Cites_doi 10.1016/j.ifacol.2016.07.269
10.1016/j.conengprac.2019.104140
10.1109/CASE49997.2022.9926551
10.1109/TIE.2018.2795573
10.1109/ACCESS.2021.3128695
10.3182/20140824-6-ZA-1003.01897
10.1007/978-3-662-57805-6_1
10.1016/j.cherd.2022.10.041
10.1016/j.ifacol.2017.08.233
10.1007/978-3-662-57805-6_6
10.1016/j.mechatronics.2015.02.004
10.1109/SSD.2012.6198008
10.1007/s11740-022-01133-y
10.1016/j.jprocont.2011.07.015
10.1109/LRA.2017.2706859
10.1109/TETC.2022.3142816
10.1109/LRA.2019.2917384
10.1016/j.jss.2015.08.026
10.18637/jss.v031.i07
10.1016/j.jprocont.2013.03.010
10.1002/9781119739920.ch6
10.1016/j.ifacol.2018.09.607
10.1016/B978-0-444-64235-6.50176-5
10.3390/e19120663
10.1002/asi.20508
10.1016/j.compchemeng.2016.04.040
10.1016/j.compchemeng.2017.10.010
10.1109/ETFA.2017.8247692
10.23919/ECC51009.2020.9143823
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References ref13
ref12
ref34
ref15
ref14
ref31
ref11
ref33
ref10
ref32
ref17
ref16
ref19
ref18
voden?arevi? (ref30) 2015
(ref1) 2013
ref24
ref23
ref26
ref25
ref20
ref22
ref21
ref28
ref27
ref29
ref8
ref7
rothenberg (ref9) 2009
ref4
(ref3) 2016
ref6
ref5
hollender (ref2) 2007; 49
References_xml – ident: ref19
  doi: 10.1016/j.ifacol.2016.07.269
– ident: ref22
  doi: 10.1016/j.conengprac.2019.104140
– ident: ref26
  doi: 10.1109/CASE49997.2022.9926551
– ident: ref10
  doi: 10.1109/TIE.2018.2795573
– ident: ref12
  doi: 10.1109/ACCESS.2021.3128695
– volume: 49
  start-page: 54
  year: 2007
  ident: ref2
  article-title: Intelligent alarming. Effective alarm management improves safety, fault diagnosis and quality control
  publication-title: Automatisierungstechnische Praxis Ed
– year: 2013
  ident: ref1
  publication-title: Alarm Systems - A Guide to Design Management and Procurement
– ident: ref17
  doi: 10.3182/20140824-6-ZA-1003.01897
– ident: ref32
  doi: 10.1007/978-3-662-57805-6_1
– ident: ref6
  doi: 10.1016/j.cherd.2022.10.041
– ident: ref23
  doi: 10.1016/j.ifacol.2017.08.233
– ident: ref18
  doi: 10.1007/978-3-662-57805-6_6
– ident: ref7
  doi: 10.1016/j.mechatronics.2015.02.004
– ident: ref4
  doi: 10.1109/SSD.2012.6198008
– ident: ref24
  doi: 10.1007/s11740-022-01133-y
– ident: ref33
  doi: 10.1016/j.jprocont.2011.07.015
– year: 2009
  ident: ref9
  publication-title: Alarm Management for Process Control A Best-practice Guide for Design Implementation and Use of Industrial Alarm Systems
– ident: ref28
  doi: 10.1109/LRA.2017.2706859
– ident: ref25
  doi: 10.1109/TETC.2022.3142816
– ident: ref29
  doi: 10.1109/LRA.2019.2917384
– ident: ref8
  doi: 10.1016/j.jss.2015.08.026
– ident: ref34
  doi: 10.18637/jss.v031.i07
– ident: ref5
  doi: 10.1016/j.jprocont.2013.03.010
– ident: ref27
  doi: 10.1002/9781119739920.ch6
– ident: ref15
  doi: 10.1016/j.ifacol.2018.09.607
– ident: ref11
  doi: 10.1016/B978-0-444-64235-6.50176-5
– ident: ref16
  doi: 10.3390/e19120663
– year: 2016
  ident: ref3
  publication-title: Management of Alarm Systems for the Process Industries
– ident: ref31
  doi: 10.1002/asi.20508
– ident: ref21
  doi: 10.1016/j.compchemeng.2016.04.040
– ident: ref14
  doi: 10.1016/j.compchemeng.2017.10.010
– ident: ref20
  doi: 10.1109/ETFA.2017.8247692
– start-page: 1
  year: 2015
  ident: ref30
  article-title: Data analytics for manufacturing systems: Experiences and challenges
  publication-title: Proc IEEE ETFA
– ident: ref13
  doi: 10.23919/ECC51009.2020.9143823
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Snippet Root-cause Analysis (RCA) of alarms is a well-established research area in automated Production Systems (aPS). Many RCA algorithms have been proposed and...
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SubjectTerms Alarms
Algorithms
Big Data in robotics and automation
Case studies
Cloud computing
Computer architecture
Industrial applications
Manuals
Manufacturing
Preprocessing
Process control
Production systems
Reliability
Root cause analysis
Software architecture for robotic and automation
Title A Distributed Framework for Knowledge-Driven Root-Cause Analysis on Evolving Alarm Data-An Industrial Case Study
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