Transformer condition monitoring – Sensors vs analytics: A chicken and egg situation revisited
Transformer online condition monitoring (OCM) is no longer optional for asset-intensive end users; it is essential for reliability, safety, and cost-effective operation.
by B. Das
Transformer online condition monitoring (OCM) is no longer optional for asset-intensive end users; it is essential for reliability, safety, and cost-effective operation. However, the interplay between sensor deployment and data analytics remains a stumbling block. Drawing from field deployments across the Asia-Pacific region, this article explores how a co-evolutionary approach to sensors and analytics enables advanced asset management. The author examines why neither sensors nor analytics alone are sufficient and demonstrate how OCM becomes valuable only when aligned with asset health frameworks, investment decisions, and risk-informed maintenance.
#asset management#centralized data platform#feedback loop#health indices#predictive maintenance#risk matrices
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