Research On Fault Detection Methods For Networked Systems Under Adaptive Event Triggering Mechanism

With the continuous expansion of the application scope of network communication technology in practical industrial systems,the research and application of networked systems are becoming more and more widespread.Systems such as automotive suspension systems and power transmission systems transmit signals through the network,achieving the goal of long-distance operation and distributed transmission.However,in the process of network transmission,due to limited network resources,event triggering mechanisms are often used to filter transmission data.However,traditional event triggering mechanisms cannot track system changes for self adjustment due to fixed thresholds,which can waste a certain amount of network resources and further lead to network congestion,latency,packet loss,and other issues,leading to system failures;If a fault occurs in a networked industrial system,it will lead to operational failure and serious economic losses.Therefore,how to quickly detect faults while saving network resources has become a key research topic.This article will focus on the fault detection problem of networked systems under their adaptive event triggering mechanism.The main research content is as follows:Firstly,for distributed time-delay networked systems with sensor saturation,an adaptive event triggering mechanism is introduced and an H_∞fault detection filter is established to generate residual signals and establish an evaluation function.Thresholds are designed to determine whether a fault has occurred in the system through comparison.Utilize adaptive event triggering mechanisms to dynamically adjust event triggering thresholds and improve network resource utilization.Using Jensen inequality and Schur complement methods,sufficient conditions for asymptotic stability of the system with H_∞performance index are derived,and LMI technology is further used to obtain the designed fault detection filter parameters.On the other hand,another discrete adaptive event triggering mechanism is introduced to establish a fault detection filter that meets L₁ performance indicators.The advantages of the adaptive event triggered fault detection scheme in saving network resources are verified through numerical simulation.Secondly,considering the nonlinear disturbances and uncertainties present in the system,the fault detection problem of distributed time delay networked systems was further studied.Let the nonlinear disturbance occur randomly,and introduce Bernoulli random sequence to model.On this basis,an H_∞fault detection filter with adaptive event triggering mechanism was constructed.Construct a Lyapunov functional related to the trigger threshold parameters,derive sufficient conditions for the system to be asymptotically stable in the mean square,and transform it into a convex optimization problem based on LMI to obtain the required fault detection filter parameters.On the other hand,a discrete adaptive event triggering mechanism is introduced to design a non fragile L₁ fault detection filter.Numerical simulation has demonstrated that the method in this section can quickly detect faults while saving network resources.Once again,for networked Markov jump systems,the problem of H_∞fault detection under their adaptive event triggering mechanism is studied.By constructing Lyapunov functionals related to event triggered thresholds,the fault detection system is randomly stable.By using integral inequality techniques and variable substitution methods,H_∞performance criteria are established,and a design method for fault detection filters is obtained.Finally,the effectiveness of the scheme is verified through simulation.Finally,consider a networked system with sensor faults,introduce an actual car suspension system model,and use adaptive event triggering mechanism and fault detection technology to improve network resource utilization.Through simulation calculations,the normal operation of the sensor and the sensor distortion situation were given.The results showed that in both cases,the designed scheme can not only save network resources,but also quickly detect faults in the car suspension system and avoid accidents.