Optimization of Photoacoustic Cell for Trace Acetylene Detection in Transformer Oil

This paper presents the development of a highly sensitive gas detection system based on resonant photoacoustic cell for detecting dissolved gases in transformer oil. A simulation model was studied and optimized buffer chamber volume while ensuring signal enhancement. The reduced by about 80% compared to classical model. then fabricated optimization. dual-resonance constructed combining PA with handmade cantilever fiber acoustic sensor. system’s sensitivity further improved using an erbium-doped amplifier, wavelength modulation, harmonic technology. experimental results showed that achieved limit 6 ppb excellent linear range under 1000 ppm C2H2 gas. developed has potential applications monitoring condition power transformers grids.