Prediction of AHU Filter’s Remaining Useful Life Using Supply Fan Differential Pressure Data Collection and Analysis

Hyun-Ho Choi; Wang-Hyun Baek; Hyeun-Jun Moon

doi:10.21086/ksles.2025.12.32.6.695

All Issue

2025 Vol.32, Issue 6 Preview Page Next Page

Research Article

Prediction of AHU Filter’s Remaining Useful Life Using Supply Fan Differential Pressure Data Collection and Analysis 급기 팬 차압 데이터 수집 및 분석을 통한 공조기 필터 수명 예측

31 December 2025. pp. 695-704

PDF XML

Abstract

This study proposes a method for predicting the remaining useful life (RUL) of air handling unit (AHU) filters without directly measuring the differential pressure across the filter. Instead, the approach utilizes operational data collected from the Building Automation System (BAS). By analyzing the supply fan’s differential pressure and the accumulated dust load, the filter’s RUL is estimated. A multinomial logistic regression algorithm is applied for model training, and demonstrates reliable accuracy across all classified RUL categories. The proposed method enables data-driven filter maintenance, improving both cost efficiency and indoor air quality. This approach is particularly valuable for buildings that lack dedicated filter pressure sensors.

Keywords

Filter

Remaining useful life

Fan differential pressure

Machine learning

Multinomial logistic regression

References

Alimohammadi, H., Vassiljeva, K., Petlenkov, E., Kull, T. M., & Thalfeldt, M. (2022, May). Predict the remaining useful life in HVAC filters using a hybrid strategy. CLIMA 2022 Conference. https://doi.org/10.34641/clima.2022.273

10.34641/clima.2022.273

ASHRAE. (2017). Method of testing general ventilation air-cleaning devices for removal efficiency by particle size. ANSI/ASHRAE Standard 52.2-2017, 1-62.

Jung, S. J., & Hur, J. W. (2020). Deep learning approaches to RUL prediction of lithium-ion batteries. Journal of the Korean Society of Manufacturing Process Engineers, 19(12), 21-27. https://doi.org/10.14775/ksmpe.2020.19.12.021

10.14775/ksmpe.2020.19.12.021

Jung, Y. H., Park, B. Y., & Sohn, J. Y. (2004). Evaluation of air filter performance in building air conditioners through field measurements. Journal of the Architectural Institute of Korea, 20(7), 216-223.

Lee, J. H., Yoo, S. Y., Shin, S. C., Kang, D. H., Lee, S. S., & Lee, J. C. (2019). Fault diagnosis of bearings using machine learning algorithm. Journal of the Korean Society of Marine Engineering, 43(6), 455-462. https://doi.org/10.5916/jkosme.2019.43.6.455

10.5916/jkosme.2019.43.6.455

Won, K. H. (2004). Energy performance evaluation of AHU fan through air filter pressure difference in commercial buildings. University of Seoul, Seoul.

Information

Publisher :The Korean Society of Living Environmental System
Publisher(Ko) :한국생활환경학회
Journal Title :Journal of The Korean Society of Living Environmental System
Journal Title(Ko) :한국생활환경학회
Volume : 32
No :6
Pages :695-704
Received Date : 2025-10-25
Revised Date : 2025-10-30
Accepted Date : 2025-11-04
DOI :https://doi.org/10.21086/ksles.2025.12.32.6.695

Journal of The Korean Society of Living Environmental System ISSN:1226-1289(Print) 한국생활환경학회

All Issue