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This research investigates how predictive maintenance affects safety, costs, and incidents in helicopter operations.

May 13, 2026Open Access

Predictive Maintenance in Helicopter Operations: Impact on Maintenance Cost, Safety, and Insurance

KGKudakwashe GumboNovosibirsk State Technical University

Key Points

This research investigates how predictive maintenance affects safety, costs, and incidents in helicopter operations.
Analysis of a dataset containing 40 years of maintenance-related aviation incidents.
Statistical analysis conducted using R to identify trends in incident frequency and severity.
Focus on the correlation between predictive maintenance and reductions in operational costs and injuries.
Overall incident rates have decreased over the study period.
Implementation of predictive maintenance correlates with a reduction in fatal and serious injuries.
Operational costs and insurance liabilities were significantly lowered with the adoption of predictive maintenance strategies.

Abstract

This study explores the influence of predictive maintenance (PdM) on helicopter operations, focusing on its impact on manual inspections, operational costs, safety, and insurance. Using a dataset of maintenance-related aviation incidents, combined with statistical analysis in R, we uncover trends in incident frequency, injury severity, and fatality distribution over the past four decades. The results indicate that while overall incident rates have declined, the implementation of predictive maintenance correlates with measurable reductions in fatal and serious injuries, as well as operational costs and insurance liabilities. Our findings recommend broader adoption of PdM strategies, particularly in general aviation and helicopter fleets.

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