wilamowski-b-m-irwin-j-d-industrial-communication-systems-2011

68
Processing Data in
Complex Communication
Systems
Gerhard Zucker
Vienna University
of Technology
Dietmar Bruckner
Vienna University
of Technology
Dietmar Dietrich
Vienna University
of Technology
68.1 Introduction.....................................................................................68-1
68.2 An Archetype for Future Automation.........................................68-2
68.3 Bottom-Up versus Top-Down Design: Behavioristic
Model versus Functional Model...................................................68-2
68.4 Automated Methods for Sensor and Actuator Systems............68-4
68.5 The Diagnostic System....................................................................68-4
Error Detection. •. Statistical Generative Models. •. Online
Parameter Updates. •. Results
68.6 Intelligent Surveillance Systems...................................................68-7
Architecture
68.7 The Human Mind as an Archetype for Cognitive
Automation......................................................................................68-9
Perception in Automation: A Historic Overview
References..................................................................................................68-10
68.1 Introduction
In automation, mechanical units are more and more replaced by electronic components. They contain
sensors, actuators, and information computing systems. The goal is to achieve higher process and
product quality. This means, e.g., to increase the performance by implementing more functionality.
Systems become interconnected, which causes increased complexity—something that cannot easily
be handled with traditional technological approaches. It is necessary to rethink existing approaches
and find new solutions. These can be found in statistical models, hierarchical models, and bionic models.
This chapter reviews recent research results about methods to reduce the effort for commission,
maintenance, and operation of the system. Statistical models are used to automatically derive normal
operation conditions. Hierarchical models help in abstracting information from the mere sensor
values to semantic concepts that are also used in human thinking and conversation. In the bionic
research direction, contemporary researchers like Mark Solms and Antonio R. Damasio build upon
psychoanalysis, which could be such a new approach for engineers. The theories are widely unknown
to engineers, still their methods, which originate from neurology, are partly similar to the methods of
computer technology.
68-1
© 2011 by Taylor and Francis Group, LLC