Most　present　studies　on　the　acoustic　emission　signals　of　rotating　machinery　are　experiment-oriented,　while　few　of　them　involve　on-spot　applications.　In　this　study,　a　method　of　redundant　second　generation　wavelet　transform　based　on　the　principle　of　interpolated　subdivision　was　developed.　With　this　method,　subdivision　was　not　needed　during　the　decomposition.　The　lengths　of　approximation　signals　and　detail　signals　were　the　same　as　those　of　original　ones,　so　the　data　volume　was　twice　that　of　original　signals;　besides,　the　data　redundancy　characteristic　also　guaranteed　the　excellent　analysis　effect　of　the　method.　The　analysis　of　the　acoustic　emission　data　from　the　faults　of　on-spot　low-speed　heavy-duty　gears　validated　the　redundant　second　generation　wavelet　transform　in　the　processing　and　denoising　of　acoustic　emission　signals.　Furthermore,　the　analysis　illustrated　that　the　acoustic　emission　testing　could　be　used　in　the　fault　diagnosis　of　on-spot　low-speed　heavy-duty　gears　and　could　be　a　significant　supplement　to　vibration　testing　diagnosis.