To　address　the　issue　that　traditional　spectral　amplitude　modulation　methods　are　susceptible　to　noise,　this　paper　proposes　a　parameterized　S　spectral　amplitude　modulation　method,　where　a　parameterized　S-transform　is　applied　to　obtain　the　amplitude　of　a　signal　in　the　time-frequency　domain.　First,　the　parameterized　S-transform　is　used　to　convert　the　signal　into　the　time-frequency　domain　and　obtain　its　amplitude　and　phase　information.　Then,　different　weights　are　assigned　to　the　amplitude　in　the　time-frequency　domain　to　alter　the　contribution　of　different　energy　frequency　components　in　the　signal.　Lastly,　the　modulated　amplitude　is　combined　with　the　original　phase,　and　the　parameterized　inverse　S-transform　is　used　to　reconstruct　a　series　of　modified　signals　for　computing　squared　envelope　spectra　and　extracting　fault　characteristics.　The　simulation　and　experimental　results　indicate　that　the　amplitude　information　obtained　using　the　proposed　method　is　more　accurate　and　comprehensive　compared　to　traditional　spectral　amplitude　modulation　methods.　This　method　exhibits　greater　robustness　in　high-noise　environments,　and　can　effectively　diagnose　faults　in　the　outer　and　inner　rings　of　rolling　bearings　and　compound　faults.　The　proposed　method　is　compared　with　traditional　spectral　amplitude　modulation　methods　and　fast　Kurtogram.　The　results　demonstrate　that　the　parameterized　S　spectral　amplitude　modulation　can　not　only　detect　bearing　fault　information　in　high-noise　environments,　but　also　extract　multiple　fault　components　simultaneously.　Therefore,　it　exhibits　obvious　advantages　in　the　diagnosis　of　rolling　bearing　faults.　©　2024　Xi＇an　Jiaotong　University.　All　rights　reserved.