Sustainable subway indoor air quality monitoring and fault-tolerant ventilation control using a sparse autoencoder-driven sensor self-validation

Volume: 52, Pages: 101847 - 101847
Published: Jan 1, 2020
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 triggering misinterpretation; causing energy waste or IAQ deterioration. This paper presents a holistic online framework for sensor self-validation in a subway station based on a sparse autoencoder (AE)...
Paper Details
Title
Sustainable subway indoor air quality monitoring and fault-tolerant ventilation control using a sparse autoencoder-driven sensor self-validation
Published Date
Jan 1, 2020
Volume
52
Pages
101847 - 101847
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