Titlebook: Data-Driven Fault Detection for Industrial Processes; Canonical Correlatio Zhiwen Chen Book 2017 Springer Fachmedien Wiesbaden GmbH 2017 Mu

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Shortest Longest-Path Graph Orientationsmic operation and overall system reliability, are being pushed up in industry, e.g., in the process and manufacturing industry [74]. To meet these demands, the complexity and automation of modern industrial processes have significantly increased [26]. For example, in a typical alumina evaporation pr

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New Results for Network Pollution Gamesaluation index called expected detection delay, which is applicable for evaluating .. and . statistics. Aimed at alarm management, Yang . [115] have investigated the analytical probability distribution of the time to a false alarm (TFA) using the classic general likelihood-ratio and cumulative sum-b

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Zhiwen ChenPublication in the field of technical sciences

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A Projection-based FD method for Dynamic Processes with deterministic disturbances,ul implementations have been reported [40, 89, 125], the existing data-driven FD methods pay often less attention to deterministic disturbances. Recently, Luo . [75] proposed a data-driven FD approach for static processes with deterministic disturbances.

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trial processes. With the ever increasing demands on reliability and safety in industrial processes, fault detection has become an important issue. Although the model-based fault detection theory has been well studied in the past decades, its applications are limited to large-scale industrial proces