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

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發(fā)表于 2025-3-21 18:40:58 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Data-Driven Design of Fault Diagnosis Systems
副標(biāo)題Nonlinear Multimode
編輯Adel Haghani Abandan Sari
視頻videohttp://file.papertrans.cn/264/263291/263291.mp4
概述Publication in the field of technical sciences.Includes supplementary material:
圖書封面Titlebook: Data-Driven Design of Fault Diagnosis Systems; Nonlinear Multimode  Adel Haghani Abandan Sari Book 2014 Springer Fachmedien Wiesbaden 2014
描述In many industrial applications early detection and diagnosis of abnormal behavior of the plant is of great importance. During the last decades, the complexity 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 e?cient fault diagnosis techniques for complex industrial systems using process historical data and considering the nonlinear behavior of the process. To this end, di?erent methods are presented to solve the fault diagnosis problem based on the overall behavior of the process and its dynamics. Moreover, a novel technique is proposed for fault isolation and determination of the root-cause of the faults in the system, based on the fault impacts on the process measurements.
出版日期Book 2014
關(guān)鍵詞Data-driven approaches; Decision making; Fault detection and diagnosis; Process monitoring
版次1
doihttps://doi.org/10.1007/978-3-658-05807-4
isbn_softcover978-3-658-05806-7
isbn_ebook978-3-658-05807-4
copyrightSpringer Fachmedien Wiesbaden 2014
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 20:43:08 | 只看該作者
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
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發(fā)表于 2025-3-23 00:10:58 | 只看該作者
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 e?cient fault diagnosis te
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發(fā)表于 2025-3-23 04:48:27 | 只看該作者
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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