The　high　reliability　and　extended　life　of　seawater　hydraulic　components　depends　on　the　tribological　properties　of　the　key　tribopairs.　The　main　reason　that　restricts　their　life　is　the　wear　of　the　tribopairs　in　relative　motion.　Therefore,　the　performance　degradation　of　the　tribopair　should　be　investigated.　Due　to　the　limitation　of　the　test　sample　size　and　test　time,　a　large　number　of　tests　cannot　be　performed　in　a　short　period　of　time.　Therefore,　with　the　development　of　the　sensor　and　monitoring　technologies,　the　Accelerated　Degradation　Testing　(ADT)　has　become　an　accelerated　test　method　that　can　efficiently　select　and　analyze　the　reliability　of　tribopairs.　In　this　paper,　the　friction　and　wear　characteristics　of　polyether　ether　ketone　(PEEK)/17-4PH　stainless　steel　are　investigated,　and　the　acceleration　stress　related　to　its　performance　is　analyzed.　Taking　into　account　the　random　characteristics　of　the　degradation　process,　an　ADT　model　based　on　the　Wiener　stochastic　process　is　constructed,　while　using　the　MLE　solver.　Finally,　the　model　is　estimated　and　verified　using　PEEK/17-4PH　stainless　steel　experimental　data.　The　results　show　that　the　proposed　model　helps　the　reliable　assessment　and　further　research　of　tribopair　material.