A Theoretical Reliability Framework for Segmented Particulate Filters in Industrial Chimneys

Abstract

Industrial chimney particulate filters are used to reduce the release of harmful particles into the atmosphere. However, conventional single-filter systems are vulnerable to clogging and single-point failures, reducing filtration reliability. This paper proposes a segmentation technique to improve filter reliability without increasing the total filter volume or filter material. A theoretical reliability analysis was conducted to evaluate the proposed design. Assuming an individual filter reliability of 80%, the segmented configuration achieves a theoretical system reliability of 89.6%, representing a 12% improvement over a conventional single-filter system. The proposed segmented configuration is intended to improve system reliability through modularisation, and the reliability analysis provides a theoretical proof-of-concept framework. Experimental validation through pressure-drop analysis, airflow modelling, and particle collection efficiency testing is recommended for future work. The proposed approach provides a theoretical framework for investigating segmentation as a reliability-enhancement strategy for industrial chimney particulate filtration systems.