Soft sensing of NOx emission from waste incineration process based on data de-noising and bidirectional long short-term memory neural networks
Zhenghui Li,
Zhuliang Yu,
Da Chen
et al.
Abstract:Continuous emission monitoring system is commonly employed to monitor NOx emissions in municipal solid waste incineration (MSWI) processes. However, it still encounters the challenges of regular maintenance and measurement lag. These issues significantly impact the accurate and stable control of NOx emissions. Therefore, developing a soft NOx emission sensor to complement hardware monitoring becomes imperative. Considering data noise, dynamic nonlinearity, time series characteristics and volatility in the MSWI… Show more
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