The　delicate　control　of　effluent　quality　in　wastewater　engineering　becomes　imperative　for　fulfilling　its　role　in　protecting　the　ecological　environment　and　promoting　the　water　recycling.　In　this　paper,　an　adaptive　multivariable　self-healing　control　strategy　for　the　wastewater　treatment　process　(WWTP)　operating　under　complicated　environments　and　facing　abnormal　conditions.　The　control　goal　is　to　meet　the　strict　effluent　standards　of　the　WWTP　and　to　optimize　the　abnormal　conditions　by　analyzing　the　process　operating　status　in　the　event　of　sudden　sensor　failures.　Therein,　a　new　residual-triggered　threshold　decision　method　is　designed　and　integrated　into　a　dynamical　detection　mechanism　to　identify　such　sensor　failures.　After　locating　the　failures,　a　multivariable　self-healing　control　scheme　incorporating　failure　compensation　information　is　activated　to　guarantee　the　process　output　tracking　and　improve　the　self-recovery　capability　of　faulty　performance　in　the　WWTP.　Extensive　experiments　are　carried　out　on　a　standardized　wastewater　treatment　platform,　and　the　regulation　results　on　the　key　component　concentrations　indicate　that　the　proposed　control　scheme　can　ensure　excellent　control　performance　and　reduce　the　impact　of　sensor　failures.