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 Orientationsands, the complexity and automation of modern industrial processes have significantly increased [26]. For example, in a typical alumina evaporation process, there are numerous control loops, in which a great number of sensors and actuators are embedded [14].

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New Results for Network Pollution Gamesnvestigated the analytical probability distribution of the time to a false alarm (TFA) using the classic general likelihood-ratio and cumulative sum-based FD methods. However, it does not seem applicable for these statistics applied in this dissertation, i.e., .. and . statistics, owing to their high complexities.

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Vít Jelínek,Eva Jelínková,Jan Kratochvíltuators, while PLS-based methods are applied to process variables and output variables (quality variables) or key performance indicators, which are on-line unmeasurable or measurable only with a large time delay.

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rrelation analysis (CCA) and projection-based methods are proposed from the perspectives of process input and output data, less engineering effort and wide application scope. For performance evaluation of FD methods, a new index is also developed..978-3-658-16755-4978-3-658-16756-1

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Evaluation and Comparison of ,, and , Statistics for Fault Detection,nvestigated the analytical probability distribution of the time to a false alarm (TFA) using the classic general likelihood-ratio and cumulative sum-based FD methods. However, it does not seem applicable for these statistics applied in this dissertation, i.e., .. and . statistics, owing to their high complexities.

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Canonical Correlation Analysis-based Fault Detection Methods,tuators, while PLS-based methods are applied to process variables and output variables (quality variables) or key performance indicators, which are on-line unmeasurable or measurable only with a large time delay.

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Book 2017iability 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 processes because it is difficult to build accurate models. Fu

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Introduction,mic 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