Transformers Magazine, Vol. 13 No. 2, 2026.
Izvorni znanstveni članak
Transformer condition monitoring – Sensors vs Analytics: A chicken and egg situation revisited
Dr Bhaba P. Das
Sažetak
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. I examine 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.
Ključne riječi
asset management; predictive maintenance; risk matrices; feedback loop; centralized data platform; health indices
Hrčak ID:
346976
URI
Datum izdavanja:
8.4.2026.
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