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Pressure?regulator?and?wheel?speed?sensor?play?an?important?role?in?the?anti-lock?braking?system?of?automobiles.?In?order?to?further?improve?the?braking?performance?of?the?anti-lock?braking?system?of?automobiles,?a?fault?diagnosis?method?of?pressure?regulator?and?wheel?speed?sensor?based?on?probabilistic?neural?network?is?proposed.?Based?on?the?test?data?of?braking?and?single?pressure?regulator?or?wheel?speed?sensor?faults?when?start-up?on?high?adhesion?uniform?road?surface,?the?fault?diagnosis?models?of?pressure?regulator?and?wheel?speed?sensor?based?on?probabilistic?neural?network?are?established?respectively,?and?compared?with?BP?neural?network.?The?simulation?results?show?that?when?the?probabilistic?neural?network?and?BP?neural?network?are?trained?with?the?same?training?sample?set,?the?fault?diagnosis?model?of?pressure?regulator?and?wheel?speed?sensor?based?on?probabilistic?neural?network?is?obviously?superior?to?BP?neural?network?in?training?time?and?diagnostic?accuracy,?and?When?the?fault?models?of?pressure?regulator?and?wheel?speed?sensor?are?detected?by?the?test?sample,?the?fault?models?based?on?probabilistic?neural?network?can?accurately?identify?the?faults?no?matter?what?the?order?of?test?samples?changes.