Dynamic Adaption to Permanent Memory Faults in Industrial Control Systems

Johannes Iber, Michael Krisper, Jürgen Dobaj, Christian Kreiner

Research output: Contribution to journalConference articleResearchpeer-review

Abstract

Industrial control systems are making increased use of commercial off-the-shelf hardware components. One such component is memory based on DRAM technology. As pointed out by others, DRAM memory can experience permanent hardware errors, e.g. a memory cell can be permanently stuck-at zero or one. In the worst case, such a fault may have serious safety-related consequences. In this work, we present the application of a self-adaptive software system named Scari that detects erroneous datapoints, analyzes them concerning permanent stuck-at faults, and adapts to them by masking defect memory areas. Crucial for this to work is a hot-standby device that takes over the control loop during the detection and adaption phases. The goal of the mechanism presented here is automatic self-repair of a faulty control device to increase its service life and to strengthen overall resilience. The industrial setting of the presented approach is that of control devices for hydropower plant units.

Original languageEnglish
Pages (from-to)392-399
Number of pages8
JournalProcedia Computer Science
Volume130
DOIs
Publication statusPublished - 24 Apr 2018
Event9th International Conference on Ambient Systems, Networks and Technologies, ANT 2018 - Porto, Indonesia
Duration: 8 May 201811 May 2018

Fingerprint

Control systems
Data storage equipment
Dynamic random access storage
Computer hardware
Service life
Repair
Defects

Keywords

  • industrial control systems
  • permanent memory faults
  • self-adaptive software system

ASJC Scopus subject areas

  • Computer Science(all)

Fields of Expertise

  • Information, Communication & Computing

Treatment code (Nähere Zuordnung)

  • Application

Cite this

Dynamic Adaption to Permanent Memory Faults in Industrial Control Systems. / Iber, Johannes; Krisper, Michael; Dobaj, Jürgen; Kreiner, Christian.

In: Procedia Computer Science, Vol. 130, 24.04.2018, p. 392-399.

Research output: Contribution to journalConference articleResearchpeer-review

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