| 書(shū)目名稱(chēng) | Data-Driven Design of Fault Diagnosis Systems |
| 副標(biāo)題 | Nonlinear Multimode |
| 編輯 | Adel Haghani Abandan Sari |
| 視頻video | http://file.papertrans.cn/264/263291/263291.mp4 |
| 概述 | Publication in the field of technical sciences.Includes supplementary material: |
| 圖書(shū)封面 |  |
| 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 |
| doi | https://doi.org/10.1007/978-3-658-05807-4 |
| isbn_softcover | 978-3-658-05806-7 |
| isbn_ebook | 978-3-658-05807-4 |
| copyright | Springer Fachmedien Wiesbaden 2014 |
|Archiver|手機(jī)版|小黑屋|
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