Engineering Framework to Assess Equipment Reliability of Air Fin Coolers in Process Plant Industries

podcast episode with guest speaker Dheerajkumar Narang

Air fin coolers are one of the most important assets in process plant facilities for ensuring continued operational excellence and production rate of the process plant. There are numerous remaining life assessment (RLA) and reliability engineering (RE) methodologies available for performing condition assessment of the air fin coolers. Most methodologies concentrate on the mechanical integrity (MI) aspects of air fin coolers such as the header box and fin tubes life assessment using recognized and generally accepted good engineering practices (RAGAGEP) to primarily address the loss of containment (process fluid) scenarios. There is rarely a comprehensive methodology or framework that also covers the dynamic parts such as fin blades, electrical motor, gear box and propeller (fan) in assessing remaining life of the air fin coolers. This article will outline a thorough reliability engineering or remaining life assessment framework (holistic methodology) that will cover both the mechanical integrity (header box and fin tubes) and reliability aspects (fin blades, electrical motor, gear box and propeller) aspects enabling the asset integrity (reliability & maintenance) engineering personnel to generate a technical, coherent, and auditable reliability report for the air fin coolers. This technical webinar is based on a poster session that was originally presented at the 2024 AiCHE Spring Meeting and 20th Global Congress on Process Safety, New Orleans, LA.
This Accendo Reliability webinar was originally broadcast on 10 June 2025.

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Additional content that may be of interest

SOR 1018 Calculate Equipment Reliability episode
To Achieve Your Equipment Reliability Goals, Begin at the Beginning article
Using Failure Analysis to Improve Equipment Reliability article
Improve Critical Equipment Reliability and Reduce Maintenance Costs article
How Asset Maintenance Strategy Selection Affects Defect Elimination, Failure Prevention and Equipment Reliability

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