Fluorine rubber (FKM) material has excellent heat resistance, corrosion resistance, oil resistance and more, making it a popular material in aviation, aerospace, petroleum, machinery and other industries. However, the traditional service life testing method for FKM materials has disadvantages, such as damage to the material to be tested, complicated operation steps, and low testing efficiency. Therefore, in practical applications, FKM is often replaced directly and regularly, but it has a higher possibility of harming the environment by pollution. A new method for predicting the service life of FKM materials using terahertz time-domain spectroscopy (THz-TDS) was proposed. At firstly，Perform THz-TDS detection on the FKM material that has been subjected to different temperatures and different periods in a hot air aging box, obtain its corresponding time-domain spectrum, and extract the corresponding peak-to-peak value, that is, the difference between the maximum detection current value and the minor detection current value in a transmission sampling cycle. Fitting the peak-to-peak value of the THz time-domain waveform of the FKM material with different aging temperatures and the aging time, it could be seen that the peak-to-peak value of the time-domain spectrum of the FKM sample decreases with the aging time, and the higher the aging temperature, the downward trend was more prominent. The correlation coefficients of the fitted straight lines at the three aging temperatures of 200, 300 and 360 ℃ were as high as 0.973 4, 0.982 1 and 0.993 5, respectively. Secondly, according to the basic idea of the Arrhenius formula, a mathematical model of FKM material life prediction was established with the peak-to-peak value of the time domain spectrum as the reference standard. The correlation coefficient of the fitted straight line of the relationship between the logarithm of the aging reaction rate constant and the reciprocal of the aging temperature obtained using the time-domain spectral peak-to-peak service life estimation method was 0.996 9. Finally, the critical value of the THz-TDS peak-to-peak failure in the THz-TDS-based service life prediction mathematical model was verified by measuring the elongation at the break of the FKM material by mechanical stretching. The FKM based on -the constructed THz-TDS could be obtained, and the material life estimation model was established with higher correct efficiency. The research results show that applying the THz-TDS detection method to FKM material life detection has high accuracy. In addition, THz-TDS detection has the advantages of non-destructiveness, high efficiency, simple operation-wide applicability, etc., which can provide online detection and life prediction for FKM material products. It also references studying life prediction methods for other non-polar and dielectric materials.