Study on Sensor Fault-Tolerant Control for Central Air-Conditioning Systems Using Bayesian Inference with Data Increments

Study on Sensor Fault-Tolerant Control for Central Air-Conditioning Systems Using Bayesian Inference with Data Increments

A lack of available information on heating, ventilation, and air-conditioning (HVAC) systems can affect the performance of data-driven fault-tolerant control (FTC) models. This study proposed an in situ selective incremental calibration (ISIC) strategy. Faults were introduced into the indoor air (&l...

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Bibliographic Details
Main Authors: Guannan Li, Chongchong Wang, Lamei Liu, Xi Fang, Wei Kuang, Chenglong Xiong
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Sensors
Subjects:
heating, ventilation, and air-conditioning (HVAC)
sensors
fault-tolerant control
data increments
multiple linear regression–Bayesian inference
Online Access:https://www.mdpi.com/1424-8220/24/4/1150

Internet

https://www.mdpi.com/1424-8220/24/4/1150

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