Soft sensor validation for monitoring and resilient control of sequential subway indoor air quality through memory-gated recurrent neural networks-based …
Indoor air quality (IAQ) measurements play an important role in the subway ventilation
system control, influencing over crucial factors as ventilation energy consumption and …
system control, influencing over crucial factors as ventilation energy consumption and …
Sustainable subway indoor air quality monitoring and fault-tolerant ventilation control using a sparse autoencoder-driven sensor self-validation
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 …
key components of the ventilation systems in subway stations. However, faulty sensors due …
Sensor fault identification and reconstruction of indoor air quality (IAQ) data using a multivariate non-Gaussian model in underground building space
Sensors have been widely used to monitor indoor air quality (IAQ) in underground subway
stations of metro systems. These IAQ sensors suffer reliability problems due to the hostile …
stations of metro systems. These IAQ sensors suffer reliability problems due to the hostile …
Neural circuit policies-based temporal flexible soft-sensor modeling of subway PM2. 5 with applications on indoor air quality management
This study developed a data-based soft-sensor to predict indoor PM 2.5 from easy-to-
measure outdoor and indoor air variables. The method consists of neural circuit policies …
measure outdoor and indoor air variables. The method consists of neural circuit policies …
Imputing missing indoor air quality data via variational convolutional autoencoders: Implications for ventilation management of subway metro systems
Missing data represents a common problem in environmental and building-related
processes, especially in the indoor air quality (IAQ) system of subway stations, where the …
processes, especially in the indoor air quality (IAQ) system of subway stations, where the …
A deep reinforcement learning-based autonomous ventilation control system for smart indoor air quality management in a subway station
Mechanical ventilation has been widely implemented to alleviate poor indoor air quality
(IAQ) in confined underground public facilities. However, due to time-varying IAQ properties …
(IAQ) in confined underground public facilities. However, due to time-varying IAQ properties …
A robust localized soft sensor for particulate matter modeling in Seoul metro systems
H Liu, CK Yoo - Journal of hazardous materials, 2016 - Elsevier
Developing accurate soft sensors to predict and monitor the indoor air quality (IAQ) of
hazardous pollutants that accumulate in underground metro systems is of key importance …
hazardous pollutants that accumulate in underground metro systems is of key importance …
Modeling of subway indoor air quality using Gaussian process regression
Soft sensor modeling of indoor air quality (IAQ) in subway stations is essential for public
health. Gaussian process regression (GPR), as an efficient nonlinear modeling method, can …
health. Gaussian process regression (GPR), as an efficient nonlinear modeling method, can …
Dynamic slow feature analysis and random forest for subway indoor air quality modeling
K Zhang, J Yang, J Sha, H Liu - Building and Environment, 2022 - Elsevier
The indoor air quality of a metro station is closely related to the health of passengers. In
order to monitor the concentration of particulate matter in the air more stably and reduce the …
order to monitor the concentration of particulate matter in the air more stably and reduce the …
Subway air quality modeling using improved deep learning framework
D Yang, J Wang, X Yan, H Liu - Process Safety and Environmental …, 2022 - Elsevier
Soft-sensing modeling of indoor air quality in subways is critical for public health. For the
purpose of reducing monitoring costs and building health risk assessment models, a new …
purpose of reducing monitoring costs and building health risk assessment models, a new …