Vibration　and　noise　reduction　and　control　have　obvious　significance　for　submarines.　A　novel　vibration　analysis　method　based　on　an　improved　ICA　algorithm　is　proposed　in　this　paper.　By　using　the　clustering　evaluation　method,　the　stability　and　separating　performance　of　the　algorithm　are　significantly　enhanced.　The　improved　ICA　algorithm　is　applied　to　feature　extraction　of　the　vibration　signals　and　quantitative　calculation　of　the　source　contributions　of　a　scaled　submarine　model.　The　result　shows　that　the　proposed　method　is　effective,　and　this　research　provides　a　primary　basis　for　the　vibration　and　noise　control　of　submarines.　©　2010　Springer-Verlag　Berlin　Heidelberg.