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For industrial process control system fault has diverse, independent and non-linear temporal characteristics, making the detection and diagnosis of reduced efficiency, system performance and other issues, we propose a multi-sensor based on a custom multi-fault detection and diagnosis of constraints mechanisms. This mechanism, first consider the steady-state and temporal characteristics of the system to establish a nonlinear process control system multi-fault model, and gives the condition judgment rule; then for a single fault in the system, concurrent failures and communication failures and other types of shows multi-constraint rules and independent properties judgment; concludes with a multi-sensor fault detection and diagnosis mechanisms by customizing multiple constraints. Experimental results show that the average probability of detection, the ability to maintain steady-state characteristics and system power consumption, significantly better than the unconditional restraint mechanisms can significantly improve the performance of the process control system.