In　modern　industry　especially　the　process　industry,　can　extensively　exist　a　large　amount　of　low-speed　and　heavy-duty　equipments　such　as　industrial　excavator,　port　unloader　machine,　portal　jib　crane,　increasing　gearbox　of　wind　power　generation　and　so　on.　Once　a　fault　occurs　on　these　key　machines,　longer　maintenance　time　and　higher　cost　will　be　needed　while　the　normal　production　order　of　enterprises　will　also　be　disorganized　which　can　cause　huge　losses　to　enterprises.　Outstanding　characteristics　of　such　equipments　are　heavy　burden　quantity　and　low-speed,　some　of　which　can　also　be　accompanied　with　intermittent　operation　or　great　impact　load.　Hence,　potential　failure　is　quite　difficult　to　be　detected　by　traditional　monitoring　and　diagnosis　technique　due　to　all　the　above　characteristics.　Based　on　strong　noise　and　weak　signals　of　potential　failure　produced　during　the　operation　of　low-speed　and　heavy-duty　equipments,　parameters　such　as　oil,　vibration　and　current　are　proposed　to　make　the　detection　and　diagnosis　through　which　preliminary　results　have　been　obtained.