Since　the　metal　magnetic　memory　(MMM)　signal　tends　to　be　influenced　by　environmental　noise,　the　testability　of　the　detected　signal　is　reduced.　The　traditional　singular　value　decomposition　(SVD)　method　is　applied　to　decompose　and　reconstruct　the　MMM　signal　of　a　yard　crane.　It　is　effective　in　reducing　the　noise,　but　it　is　difficult　to　determine　the　singular　value　number　of　reconstruction.　In　order　to　solve　this　problem,　the　MMM　signal　matrix　is　constituted　on　the　principles　of　dichotomy　and　recursion,　and　the　multi-resolution　singular　value　decomposition　is　realized　through　the　repeated　SVD　method　to　obtain　approximate　signals　and　detail　signals　of　different　resolutions,　which　correspond　respectively　to　the　effective　components　and　the　noise　components.　The　experimental　results　of　a　certain　yard　crane　magnetic　memory　signal　processing　show　that　the　proposed　method　can　effectively　improve　the　signal-to-noise　ratio　of　the　reconstructed　signal,　and　accurately　judge　the　stress　concentration　area.　This　will　lay　the　foundations　for　stress　state　evaluation　and　early　fault　diagnosis.　©,　2014,　Nanjing　University　of　Aeronautics　an　Astronautics.　All　right　reserved.