2018 年 84 巻 5 号 p. 454-462
This research aims to support stable operation of the plant based on time-series data obtained from sensors attached to refuse incineration plant. In this paper, for the development of advanced technology for garbage incineration, factors related to exhaust-gas, namely Nitrogen Oxides (NOx) and Carbon mono Oxide (CO) contained in the exhaust gas are analyzed with forecast error variance decomposition, based on the novel modeling focusing on common frequency of time-series sensor data. The proposed modeling and analysis method are evaluated and confirmed that causal relationship can be revealed through the actual complex data.