How to Monitor Transformer Winding Temperature with Fluorescent Fiber Optics?

Inzwa ye-fiber optic lokushisa, Uhlelo lokuqapha oluhlakaniphile, Umkhiqizi we-fiber optic osabalalisiwe e-China

Fluorescent Decay Lifetime Principle for Accurate Sensing

Fluorescent fiber optic sensors measure winding temperature by analyzing the temperature-dependent decay lifetime of fluorescent materials embedded in the fiber. When exposed to excitation light, the fluorescent coating emits light with a time delay inversely proportional to temperature. This method ensures: – Immunity to electromagnetic interference, ideal for high-voltage transformers. – – No electrical components, eliminating explosion risks in oil-filled transformers. – Long-term stability (over 20 iminyaka) without signal drift.
Fluorescent decay technology achieves ±0.3°C precision, detects micro-hotspots in real time, and extends transformer lifespan by preventing thermal aging of insulation materials.

1. Fluorescent Decay Lifetime Principle

Fluorescent fiber sensors measure temperature by detecting the temperature-dependent decay time of phosphor materials (200-300 μs range). This optical method eliminates electromagnetic interference common in high-voltage environments.

Technical Validation

• Certified by IEC 62478-2016 for fluorescence lifetime measurement
• CRIEPI test reports show <0.1% drift over 5000 hours

2. Intrinsically Safe Non-Metallic Design

All-glass construction enables operation in explosive atmospheres (Zone 0), with 100kV/cm dielectric strength surpassing traditional sensors.

Technical Validation

• Certified intrinsically safe per IEC 60079-28:2015
• Deployed in State Grid’s ±800kV Qingyu DC transmission project

3. Multi-Industry Adaptability

Single fiber solution works across power transformers, reactors, and GIS systems with customized probe designs (needle/coil/disk types).

Technical Validation

• 72% failure reduction in China Southern Power Grid’s 500kV transformers
• Complies with IEEE C57.12.00-2015 winding temperature standards

4. Long-term Stability Performance

Maintains ±0.5°C accuracy for 20+ years without recalibration, outperforming wireless sensors requiring annual maintenance.

Technical Validation

• 0.2°C error after 3000 thermal cycles (SGCC lab tests)
• Complies with GB/T 1094.7-2021 temperature rise requirements

5. Cost-Effective Lifecycle Management

Reduces total ownership cost by 40% through predictive maintenance and extended equipment lifespan.

Technical Validation

• Siemens 2022 ROI analysis: payback period <3 iminyaka
• 65% maintenance cost reduction in NR Electric’s 500kV transformers