z-logo
open-access-imgOpen Access
Dynamic Adaption to Permanent Memory Faults in Industrial Control Systems
Author(s) -
Johannes Iber,
Michael Krisper,
Jürgen Dobaj,
Christian Kreiner
Publication year - 2018
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2018.04.058
Subject(s) - computer science , dram , embedded system , resilience (materials science) , component (thermodynamics) , dynamic random access memory , control (management) , reliability engineering , computer hardware , semiconductor memory , artificial intelligence , physics , engineering , thermodynamics
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom