The　internal　noise　sources　of　the　bent-axis　piston　motor　are　close　in　distance.　For　example,　the　distance　between　the　inlet　and　outlet　of　the　motor　valve　plate　is　38　mm,　and　the　noise　sources　have　the　same　frequency　and　multiple　frequency　phenomenon.　The　dense　and　complex　noise　sources　in　the　bent-axis　motor　cause　difficulties　for　the　spectrum　analysis　method　to　accurately　identify　the　same　frequency　and　multiple　frequency　signals.　The　maximum　resolution　of　traditional　sound　intensity　measurement　is　50　mm,　which　cannot　meet　the　requirement　of　identification　accuracy　of　motor　internal　noise　source.　Aiming　at　the　problem　that　the　traditional　methods　are　difficult　to　identify　the　motor　noise　sources　accurately,　this　paper　proposed　a　sound　intensity　measurement　method　based　on　compressed　sensing.　The　compressed　sensing　theory　was　applied　to　the　high-precision　reconstruction　of　sound　intensity　image　to　obtain　the　high-resolution　sound　intensity　reconstruction　image　of　the　motor.　Firstly,　the　noise　radiation　simulation　of　the　bent-axis　motor　was　carried　out　to　obtain　the　characteristics　of　its　external　surface　sound　field.　Then,　based　on　the　sound　intensity　image　for　the　motor,　a　compressed　sensing　frame　applied　to　the　motor　sound　field　was　designed　to　obtain　the　sound　intensity　cloud　image　of　the　motor　with　high　precision.　Finally,　the　feasibility　of　the　compressed　sensing　theory　to　improve　the　identification　accuracy　of　motor　noise　source　was　verified　by　comparing　the　traditional　acoustic　intensity　measurement　with　the　compressed　sensing　acoustic　intensity　measurement.　The　results　show　that　the　identification　scale　of　motor　noise　sources　are　improved　from　70mm　to　30mm　by　the　sound　intensity　measurement　method　based　on　compressed　sensing,　which　improves　the　accuracy　of　motor　noise　sources　identification　and　realizes　the　high　precision　location　of　motor　noise　sources.　©　2024　South　China　University　of　Technology.　All　rights　reserved.