Dynamic
detection of multiple C5F10O decomposition
gases can more comprehensively and effectively evaluate the operating
status of eco-friendly gas-insulated power equipment (GIPE), which
is a technical support for promoting the construction of eco-friendly,
low-carbon energy power systems. In this article, we propose a silicon
noise suppression fiber-enhanced Raman spectroscopy (FERS) technique
and design a FERS sensing system for the dynamic detection of multiple
C5F10O decomposition gases. Benefiting from
the effective hybrid silicon noise filtering technology, the spectrum
noise of FERS can be suppressed by 90% and the system detection sensitivity
can be improved by 4.22 times. Utilizing a 2 m-long antiresonant hollow-core
fiber, the system achieved detection limits of 1.34 and 1.44 ppmv
for CF4 and CO2, respectively, under the conditions
of a laser power of 200 mW, a pressure of 0.5 MPa, and a measurement
time of 120 s. Afterward, combining sample gas and density functional
theory simulation, the characteristic peak positions for quantitative
analysis of C5F10O decomposition gas were determined
as follows: CF4: 906 cm–1, CO2: 1388 cm–1, C5F10O: 759
cm–1, CF2O: 965 cm–1, CF3H: 1117 cm–1, C2F4: 517 cm–1, C2F6:
807 cm–1, C3F6: 767 cm–1, C3F8: 780 cm–1, C3F7H: 857 cm–1, and C4F10: 770 cm–1. Finally, the sensing
system conducted dynamic measurements of the partial discharge decomposition
gases of the C5F10O GIPE for 5 days with a 2
h measurement interval. The content trends of C5F10O and decomposition gases CF4, CO2, C3F6, and C3F7H were obtained. These
results fully demonstrate the capability of FERS technology for dynamically
detecting the decomposition gases of the C5F10O GIPE.