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Jun Chen

Researcher at University of Glasgow

Publications -  7
Citations -  59

Jun Chen is an academic researcher from University of Glasgow. The author has contributed to research in topics: Control reconfiguration & Fault detection and isolation. The author has an hindex of 3, co-authored 7 publications receiving 58 citations.

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A self-validating control system based approach to plant fault detection and diagnosis

TL;DR: In this paper, an approach is proposed in which fault detection and diagnosis (FDD) tasks are distributed to separate FDD modules associated with each control system located throughout a plant.
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Towards distributed diagnosis of the Tennessee Eastman process benchmark

TL;DR: In this article, a distributed hybrid strategy for the isolation of faults and disturbances in the Tennessee Eastman process, which would build on existing structures for distributed control systems, so should be easy to implement, be cheap and be widely applicable.
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The Tennessee Eastman Problem as a Process Monitoring Benchmark

TL;DR: The Tennessee Eastman problem is extended to provide a benchmark with which to assess process monitoring strategies and to categorize the various faults and disturbances into those that might be detected and subsequently localized by the application of either a heuristic approach or a mass balance approach due to McAvoy, Ye and Gang.
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Towards Self-Validating Control Loops

TL;DR: In this article, the authors examined the possibility of developing self-validating control loops for those loops that inherently eliminate steady state error, for instance by the incorporation of integral action.
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Improved Fault Isolation Procedures for Self-Validating Control Loops

TL;DR: Two improved procedures are proposed for the isolation of faults in control loops in processes whose control loops inherently eliminate steady state error.