Purpose　To　identify　the　dynamic　feature　of　the　aerostatic　slider　caused　by　gas　film,　an　evaluation　system　by　a　piezoelectric　acceleration　sensor　is　presented　in　time　and　frequency　domain.　Design/methodology/approach　The　dynamic　pressure　fluctuation　is　evaluated　by　the　wavelet　transform,　cross　correlation　analysis　and　power　spectral　density　(PSD).　Wavelet　transform　is　used　to　process　the　measured　result　of　the　aerostatic　slider　and　the　signal　is　decomposed　into　high-frequency　and　low-frequency　signal.　Correlation　analysis　method　is　used　to　evaluate　the　impact　of　the　initial　gas　gap　on　the　fluctuation　in　time　domain.　Findings　According　to　the　PSD　analysis　of　the　processed　signal　in　the　frequency　domain,　the　natural　frequency　of　the　aerostatic　slider　is　identified　from　the　measured　signal　in　frequency　domain;　this　method　provides　a　basis　for　the　identification　of　guideway　errors.　Research　limitations/implications　The　method　can　also　be　applied　to　the　error　identification　of　other　components　of　the　machine　tool.　Originality/value　Wavelet　transform　is　used　to　process　the　measured　result　of　the　aerostatic　slider　by　acceleration　sensor,　and　the　signal　is　decomposed　into　high-frequency　and　low-frequency　signal.　Correlation　analysis　method　is　used　to　evaluate　the　impact　of　the　initial　gas　gap　on　the　fluctuation　in　time　domain.　According　to　the　PSD　analysis　of　the　processed　signal　in　the　frequency　domain,　the　natural　frequency　of　the　aerostatic　slider　is　identified　from　the　measured　signal　in　frequency　domain;　this　method　provides　a　basis　for　the　identification　of　slider　errors.