Several　key　problems　in　bridge　health　monitoring　are　analyzed,　and　the　importance　of　signal-processing　and　data　analysis　were　pointed　out.　Due　to　the　advantage　of　wavelet　analysis　in　the　field　of　signal-processing　and　data　analysis,　wavelet　analysis　method　is　presented　to　realize　signal　de-noise,　signal　detection,　feature　extraction　and　data　compression　in　bridge　health　monitoring　system.　With　application　examples,　it　is　shown　that　the　wavelet　analysis　is　very　effective　to　solve　special　problems　in　bridge　structure　health　monitoring　system.　Based　on　wavelet　analysis,　a　four-step　method　for　structural　damage　identification　is　presented,　by　which　damage　alarming,　damage　validity,　damage　location　and　damage　qualification　may　be　conducted　in　long-span　bridges.　It　is　shown　that　there　is　a　good　perspective　to　utilize　wavelet　analysis　in　bridge　health　monitoring.