Vibration-based Condition Diagnosis of Air-Supply and Exhaust Fans in HVAC System of Domestic Nuclear Fuel Cycle Facility

Heating, Ventilation, and Air Conditioning (HVAC) systems are typically viewed as secondary maintenance targets because their failures usually result in only temporary discomfort and inconvenience for indoor workers, rather than causing facility damage or safety hazards. However, in nuclear fuel cycle facilities, HVAC systems function as containment systems to isolate radioactive materials, making them essential for facility safety. Among these systems, the air-supply and exhaust fans are the most critical components for maintaining negative pressure conditions, as their reliability directly affects overall facility safety. Therefore, implementing Fault Detection and Diagnosis (FDD) and Condition-Based Maintenance (CBM) for these fans is crucial to enhancing the safety and reliability of the facility. This study conducted a vibration-based diagnosis of the air-supply and exhaust fans in a domestic nuclear fuel cycle facility to assess the overall integrity of the fan system, which includes an impeller, bearings, pulleys, belts, and a motor. The results showed that the vibration-based FDD method effectively detects high vibrations, identifies failure types, and pinpoints faulty components. Considering the increasing demand for safety enhancements in nuclear fuel cycle facilities and the growing importance of CBM for their HVAC systems, adopting vibration-based CBM technology for air-supply and exhaust fans is expected to further improve facility safety. Additionally, transitioning from a breakdown maintenance approach to a CBM-based proactive strategy is anticipated to enhance the efficiency of nuclear fuel cycle facility management.

Authors

Publication Details

Journal
Korean Journal of Air-Conditioning and Refrigeration Engineering
Published
2025-10-17
DOI
https://doi.org/10.6110/kjacr.2025.37.10.488
Primary Topic
Advanced Sensor and Control Systems
Type
article
Field-Weighted Citation Impact
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article

Vibration-based Condition Diagnosis of Air-Supply and Exhaust Fans in HVAC System of Domestic Nuclear Fuel Cycle Facility

Seung-Nam Yu, Hyojik Lee, Sang‐Jin Park, E.S. Jeong
Korean Journal of Air-Conditioning and Refrigeration Engineering
Advanced Sensor and Control Systems
article

Vibration-based Condition Diagnosis of Air-Supply and Exhaust Fans in HVAC System of Domestic Nuclear Fuel Cycle Facility

Seung-Nam Yu, Hyojik Lee, Sang‐Jin Park, E.S. Jeong
article en

Abstract

Heating, Ventilation, and Air Conditioning (HVAC) systems are typically viewed as secondary maintenance targets because their failures usually result in only temporary discomfort and inconvenience for indoor workers, rather than causing facility damage or safety hazards. However, in nuclear fuel cycle facilities, HVAC systems function as containment systems to isolate radioactive materials, making them essential for facility safety. Among these systems, the air-supply and exhaust fans are the most critical components for maintaining negative pressure conditions, as their reliability directly affects overall facility safety. Therefore, implementing Fault Detection and Diagnosis (FDD) and Condition-Based Maintenance (CBM) for these fans is crucial to enhancing the safety and reliability of the facility. This study conducted a vibration-based diagnosis of the air-supply and exhaust fans in a domestic nuclear fuel cycle facility to assess the overall integrity of the fan system, which includes an impeller, bearings, pulleys, belts, and a motor. The results showed that the vibration-based FDD method effectively detects high vibrations, identifies failure types, and pinpoints faulty components. Considering the increasing demand for safety enhancements in nuclear fuel cycle facilities and the growing importance of CBM for their HVAC systems, adopting vibration-based CBM technology for air-supply and exhaust fans is expected to further improve facility safety. Additionally, transitioning from a breakdown maintenance approach to a CBM-based proactive strategy is anticipated to enhance the efficiency of nuclear fuel cycle facility management.

Korean Journal of Air-Conditioning and Refrigeration EngineeringVol. 37(10)
Openalex Percentile: Top 62%
Advanced Sensor and Control Systems
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