The　significance　of　information　fusion　for　structural　health　monitoring　and　damage　detection　is　introduced.　The　three　levels　of　information　fusion　for　multisensors　are　described.　For　the　complex　in　the　structural　health　monitoring,　the　distributed　multisensor　information　fusion　is　more　suitable　and　the　structure　is　discussed.　In　the　damage　information　fusion　for　character　level,　the　concept　for　structural　integral　support　vector　machine　damage　detection　matrix,　damage　self-information,　and　damage　information　entropy　are　presented.　For　a　complex　structure,　it　can　be　divided　into　multiple　substructures　in　order　to　simplify　the　difficult　for　health　monitoring,　the　data　acquisition　and　support　vector　machine　are　established　for　each　substructure　in　order　to　form　integral　damage　detection　matrix.　In　the　damage　information　fusion　for　decision　level,　the　methods　based　on　fuzzy　set　theory,　material　element　theory,　and　fuzzy　neural　network　are　proposed.　The　results　given　by　a　numerical　example　about　space　structure　show　that　all　the　methods　are　valid　and　effective.