This　paper　presents　acoustic　emission　experimental　research　of　low-speed　rolling　bearings　on　giant　wheel　simulation　device.　Statistical　analysis　of　acoustic　emission　signal　parameters　have　been　done　both　from　accumulated　and　averaged　value.　The　statistical　value　changes　of　some　parameters　showed　a　tendency　of　＂up-down-level＂　during　the　whole　process,　and　the　RMS　curve　is　most　representative.　Then　further　analysis　of　peak　point　signals　on　RMS　curve　has　been　carried　out.　The　RMS-Time　graph　of　signals　had　a　clear　four-peak　feature　and　different　signals　can　be　distinguished　in　the　Energy-Amplitude　graph.　These　results　provided　a　useful　reference　data　for　the　future　health　monitoring　of　giant　wheel　bearings.