The　accurate　diagnosis　of　transformer　oil-paper　insulation　state　has　important　guiding　significance　for　the　formulation　of　maintenance　strategy.　In　order　to　realize　the　objective　scientific　evaluation　of　the　insulation　state　of　oil-paper,　a　multi-feature　comprehensive　evaluation　model　of　transformer　oil-paper　insulation　state　based　on　combined　weighting-double　base　point　method　was　established.　Firstly,　according　to　the　shortcomings　of　the　single　feature　quantity　evaluation,　based　on　the　existing　time-domain　dielectric　spectrum　data,　multiple　aging　feature　quantities　were　extracted　from　the　recovery　voltage　polarization　spectrum　and　the　extended　Debye　equivalent　circuit　respectively,　and　a　standard　evaluation　index　system　was　established.　Secondly,　to　overcome　the　shortcomings　of　the　single　weighting　method,　the　combination　weighting　model　was　used　to　take　into　account　the　subjective　experience　of　experts　and　the　objective　differences　of　data.　Finally,　based　on　the　double　base　point　method,　the　closeness　of　the　object　was　evaluated　and　the　ideal　point　of　the　standard　state　were　calculated,　and　the　oil-paper　insulation　state　was　obtained.　The　case　studies　prove　that　the　evaluation　model　built　in　this　paper　can　effectively　and　accurately　diagnose　the　insulation　state　of　the　transformer,　which　provides　a　new　method　for　the　evaluation　of　transformer　oil-paper　insulation　state.　©　2019,　Electrical　Technology　Press　Co.　Ltd.　All　right　reserved.