Titlebook: Data-Driven Design of Fault Diagnosis Systems; Nonlinear Multimode Adel Haghani Abandan Sari Book 2014 Springer Fachmedien Wiesbaden 2014

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书目名称Data-Driven Design of Fault Diagnosis Systems被引频次




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书目名称Data-Driven Design of Fault Diagnosis Systems年度引用学科排名




书目名称Data-Driven Design of Fault Diagnosis Systems读者反馈




书目名称Data-Driven Design of Fault Diagnosis Systems读者反馈学科排名

喧闹

An overview of fault diagnosis techniques,vior and thereby help the plant engineer in determining the status of the plant. An intuitive approach might be limit sensing, i.e. defining thresholds for signals and raising alarms when signals cross the thresholds [96]. Despite its simplicity, limit sensing has several drawbacks, e.g. it does not

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Application and benchmark study,s their performance and effectiveness. Although a simulation example is given at the end of each chapter to show the ability of the methods, it is interesting to see the application of the proposed methods in real industrial processes. To this aim, the algorithms developed in this thesis have been a

绝缘

Book 2014omplexity of process plants has been drastically increased, which imposes great challenges in development of model-based monitoring approaches and it sometimes becomes unrealistic for modern large-scale processes. The main objective of Adel Haghani Abandan Sari is to study efficient fault diagnosis te

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Prototyping bei der Entwicklung von Ction that the data corresponding to each operating point follows a multivariate Gaussian distribution with various statistical properties, the available historical data can be seen as a mixture of Gaussian components with different mean vectors and covariance matrices.

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