Missing data imputation and sensor self-validation towards a sustainable operation of wastewater treatment plants via deep variational residual autoencoders.
Sign Up to like & getrecommendations! Published in 2021 at "Chemosphere"
DOI: 10.1016/j.chemosphere.2021.132647
Abstract: Missing data imputation and automatic fault detection of wastewater treatment plant (WWTP) sensors are crucial for energy conservation and environmental protection. Given the dynamic and non-linear characteristics of WWTP measurements, the conventional diagnosis models are… read more here.
Keywords: data imputation; wastewater treatment; missing data; imputation sensor ... See more keywords
Sustainable subway indoor air quality monitoring and fault-tolerant ventilation control using a sparse autoencoder-driven sensor self-validation
Sign Up to like & getrecommendations! Published in 2020 at "Sustainable Cities and Society"
DOI: 10.1016/j.scs.2019.101847
Abstract: Abstract Sensors providing measurements for monitoring and control of indoor air quality (IAQ) are key components of the ventilation systems in subway stations. However, faulty sensors due to harsh ambient conditions may deliver incorrect information… read more here.
Keywords: fault; ventilation; self validation; indoor air ... See more keywords