2003•Unpublished venueRequires access

A practical redundancy in the distributed control of power plants

Xie Zhixun, Han Yuejin

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Abstract

With. a traditional distributed control system (DCS) reliability is maximized through redundancy in the controller, networks, HMI, I/O and power. A DCS used in power plants usually concentrates too much logic in the controllers and one processor may need to solve dozens or even hundreds of loops. Without redundancy, a single failure can bring down the entire control system. In this paper, the authors discuss a path for achieving high reliability with fewer components and less complexity, cost and redundancy.

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What this paper is about

With. a traditional distributed control system (DCS) reliability is maximized through redundancy in the controller, networks, HMI, I/O and power. A DCS used in power plants usually concentrates too much logic in the controllers and one processor may need to solve dozens or even hundreds of loops. Without redundancy, a single failure can bring down the entire control system. In this paper, the authors discuss a path for achieving high reliability with fewer components and less complexity, cost and redundancy.

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Available abstract

With. a traditional distributed control system (DCS) reliability is maximized through redundancy in the controller, networks, HMI, I/O and power. A DCS used in power plants usually concentrates too much logic in the controllers and one processor may need to solve dozens or even hundreds of loops. Without redundancy, a single failure can bring down the entire control system. In this paper, the authors discuss a path for achieving high reliability with fewer components and less complexity, cost and redundancy.

Key concepts: Redundancy (engineering), Computer science, Distributed control system, Triple modular redundancy, Distributed computing, Reliability (semiconductor), Reliability engineering, Distributed power

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