Grinding　is　a　major　method　of　manufacturing.　However,　due　to　the　grinding　mechanism　is　quite　complex　and　the　grinding　process　is　requiring　high　precision　monitoring,　it　is　much　more　difficult　to　monitor　grinding　process　than　other　machining　methods.　Considering　the　safety,　efficiency　and　quality　of　grinding　process,　this　thesis　accomplish　monitoring　the　grinding　contact,　grinding　collision　and　grinding　burn　status　of　grinding　process　by　using　Acoustic　emission　technology.　Grinding　contact,　grinding　burn　support　vector　machine　classifier　by　process　modeling　and　the　entire　online　intelligent　monitoring　system　platform　has　been　designed.