In　order　to　investigate　the　impact　of　temperature　on　the　frequency　domain　dielectric　spectrum　of　oil-paper　insulation　and　to　develop　an　effective　frequency-temperature　normalization　method　to　mitigate　test　temperature　errors　induced　by　various　environmental　factors,　this　study　employs　a　first-order　differential　mapping　of　the　real　part　of　the　complex　capacitance　to　categorize　three　types　of　relaxation　intervals.　It　integrates　the　Kramers-Kronig(K-K)　transform　and　the　derivative　equations　of　the　Arrhenius　model　to　examine　the　mechanism　of　multiple　relaxation　frequencies　and　temperature.　Additionally,　it　proposes　a　frequency-temperature　normalization　approach　to　restore　dielectric　mapping　at　standard　temperature.　Aiming　at　the　frequency　domain　dielectric　testing　of　oil-paper　insulation　in　the　frequency　domain　of　the　mechanism　is　not　clear,　the　insulation　medium　contains　different　relaxation　between　the　activation　energy　difference　is　significant,　resulting　in　the　use　of　a　single　activation　energy　for　the　frequency　and　temperature　shifting　of　the　＇master　curve＇　method　will　cause　a　large　error　and　other　issues,　this　paper　carries　out　the　oil-paper　insulation　frequency　and　temperature　mechanism　and　the　study　of　the　normalization.　The　following　operations　are　carried　out　for　the　frequency　domain　dielectric　data　measured　at　two　different　temperatures,　firstly,　the　K-K　transformation　is　carried　out　on　the　real　and　imaginary　parts　of　the　complex　capacitance　data,　and　the　geometric　capacitance　and　conductivity　contributions　at　different　temperatures　are　normalized　and　fitted,　and　then,　by　means　of　the　first-order　differentiation　of　the　real　part　of　the　polarized　complex　capacitance,　the　frequency　point　at　the　peak　of　the　differentiation　spectral　line,　the　frequency　point　at　the　nearly　temperature-independent　peak　dominated　by　high-frequency　dipole　polarization,　are　taken　out　as　benchmarks　to　divide　the　low-frequency　frequency　and　the　high-frequency　frequency.　The　low　and　middle　frequency　bands　are　then　deconvolved　to　separate　the　different　relaxations　and　calculate　their　relaxation　time　constants　and　relaxation　activation　energies.　Finally,　the　characteristic　quantities　of　the　two　sets　of　test　data　are　brought　into　the　Arrhenius　derivative　equation　to　obtain　the　frequency-temperature　shift　factor　of　each　component,　and　then　the　frequency　shift　is　performed　to　restore　the　frequency-domain　dielectric　spectra　at　the　standard　temperature.　Through　the　analysis　of　actual　experimental　data,　the　effectiveness　of　the　method　is　proven,　leading　to　the　following　conclusions:　(1)　Unlike　the　traditional　＇master　curve＇　method,　the　temperature　normalization　strategy　proposed　in　this　paper　provides　a　rigorous　explanation　of　the　frequency-temperature　mechanism.　The　normalization　strategy,　based　on　the　analysis　of　the　variability　of　multi-relaxation　activation　energies,　is　an　effective　approach　to　achieve　high-precision　correction　of　the　maps.　(2)　The　activation　energies　of　the　low-frequency　relaxation　region,　the　middle-low-frequency　region,　and　the　high-frequency　relaxation　region　are　obviously　different.　Among　them,　the　activation　energies　of　the　middle　and　low-frequency　relaxation　regions　also　differ,　showing　a　trend　of　gradually　decreasing　with　increasing　frequency.　(3)　The　strategy　proposed　in　this　paper　has　good　applicability　to　samples　with　different　insulation　aging　states.　At　the　same　time,　it　is　found　that　the　activation　energy　for　relaxation　decreases　with　the　degree　of　aging.　This　indicates　that　the　sensitivity　of　various　relaxation　processes　to　aging　conditions　is　not　uniform,　providing　a　solid　theoretical　foundation　for　future　studies　on　diagnosing　insulation　aging.　©　2025　China　Machine　Press.　All　rights　reserved.