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　°C　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.　©　2024　Science　Press.　All　rights　reserved.