Multivariate Sensor Data Analysis for Oil Refineries and Multi-mode Identification of System Behavior in Real-time

Large-scale oil refineries are equipped with mission-critical heavy machinery (boilers, engines, turbines, and so on) and are continuously monitored by thousands of sensors for process efficiency, environmental safety, and predictive maintenance purposes. However, sensors themselves are also prone t...

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Principais autores:	Athar Khodabakhsh, Ismail Ari, Mustafa Bakir, Ali Ozer Ercan
格式:	Artigo
語言:	Inglês
出版:	IEEE 2018-01-01
叢編:	IEEE Access
主題:	Complex event processing gross error classification gross error detection oil refinery sensor data stream data
在線閱讀:	https://ieeexplore.ieee.org/document/8501917/
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