Wastewater　treatment　process　(WWTP)　is　one　of　the　most　means　to　achieve　the　water　resource　protection　and　sustainable　utilization.　Dissolved　oxygen　and　nitrate　are　main　factors　limiting　effluent　quality,　which　are　involved　with　carbon　consumption,　nitrification　and　denitrification.　To　achieve　efficacious　control　of　dissolved　oxygen　and　nitrate　concentrations　under　actuator　faults　and　saturation,　a　nonlinear　mapping-based　adaptive　neural　fault-tolerant　control　method　is　developed　in　this　article　for　WWTP.　The　coordinate　transformation　is　employed　to　boil　down　the　constrained　denitrification　and　aeration　processes　to　unconstrained　issues.　To　obtain　the　appointed　steady-state　tracking　performance,　nonlinear　mapping　is　incorporated　into　the　adaptive　fault-tolerant　controller,　because　of　many　categories　of　physical,　chemical,　and　biological　phenomena　existing　in　associated　and　treatment　zones,　radial　basis　function　neural　networks　are　used　to　approximate　the　uncertain　dynamics　in　WWTPs.　The　proposed　control　scheme　is　verified　via　the　benchmark　simulation　model　1.