Currently　higher　requirements　on　accurate　thermal　analysis　of　rolling　bearing　are　put　forward　for　high　precision　bearing-spindle　system.　To　this　end,　this　paper　first　presents　a　reverse　solution　method　for　thermal　transfer　analysis　of　high　speed　ball　bearing,　based　on　the　internal　multi-point　temperature　data　by　direct　experimental　method.　Firstly,　temperatures　of　bearing　rotating　components　were　obtained　by　a　novel　non-contact　quantum　dots　fluorescence　method　and　were　treated　as　the　target　variables,　and　thermal　convection　coefficients　and　bearing　temperature　field　obtained　by　traditional　empirical　formula　were　treated　as　the　initial　conditions.　Parameters　such　as　thermal　convection　coefficients　between　bearing　inner　ring/cage　and　lubricant,　bearing　housing　and　the　air　were　optimized　via　the　multi-objective　optimization　method.　As　evaluation,　thermal　elongation　of　a　precision　bearing-spindle　was　tested　and　the　results　prove　the　necessity　of　the　coefficients　optimization　and　the　reliability　of　the　presented　method　in　this　paper.　©　2018　Elsevier　Masson　SAS