How to Monitor Transformer Winding Temperature with Fluorescent Fiber Optics?

Fiber optic temperature sensor, Intelligent monitoring system, Distributed fiber optic manufacturer in 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 years) 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 years
• 65% maintenance cost reduction in NR Electric’s 500kV transformers