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Root cause diagnosis of plant-wide oscillation using spectral granger causality based on phase resampling test
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Root cause diagnosis of plant-wide oscillation using spectral granger causality based on phase resampling test

T. Xie, J.-G. Wang, Z.-T. Xie, Y. Yao 和 C. Xu
Proceedings of 2019 IEEE 8th Data Driven Control and Learning Systems Conference, DDCLS 2019, 頁碼.1230-1235
2019

摘要

Phase resampling test Plant-wide oscillation Root cause diagnosis Spectral granger causality Learning systems Statistical tests Control unit Granger Causality High costs Industrial processs Plant-wide oscillation Resampling tests Root cause Statistical significance test Process control
Plant-wide oscillation is very common in industrial process. When an oscillation occurs in a control unit during the process, the oscillation will propagate through the connectivity between the units which will cause problems such as poor product quality and high cost. Therefore, root cause diagnosis of plant-wide oscillation is very important. This paper applies the spectral Granger causality based on phase resampling test for root cause diagnosis in the plant-wide oscillation. Phase resampling test is a new method of statistical significance test. A numerical example demonstrates the effectiveness of the phase resampling test. Moreover, an industrial application case study is shown to demonstrate the feasibility of the proposed method. © 2019 IEEE.

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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076399535&doi=10.1109%2fDDCLS.2019.8909045&partnerID=40&md5=b26efe726f346d5a08f92ab21211e98f檢視

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