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@article{146145,
        author = {GUKANTI VENKATESH and K.SOMA SEKHAR},
        title = {Event-based Fault Detection Filtering for Complex},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {11},
        pages = {1440-1444},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=146145},
        abstract = {In modern industrial processes, fault occurrence unfortunately cannot be completely avoided in practical systems. To ensure the safety and reliability of the systems subjected to potential component faults, fault detection and fault-tolerant control techniques have been intensive studied on the complex systems. The fault detection filtering for complex systems over communication networks subject to nonhomogeneous Markovian parameters. A residual signal is generated which gives a satisfactory estimation of the fault and an event-triggered scheme is proposed to determine whether the networks should be updated at the trigger instants decided by the event-threshold. Moreover, a random process is employed to model the phenomenon of malicious packet losses. Consequently, a novel method is presented 
to address the stochastically stability analysis and satisfies a given H2 performance index simultaneously. The condition of the existence of the filter design algorithm is derived by a convex optimization approach to estimate the faults and to generate a residual. Finally, the proposed fault detection filtering method is then applied to an industrial nonisothermal continuous stirred tank reactor under realistic network conditions. Simulation results are given to show the effectiveness of the proposed design method and the designed filter. 
},
        keywords = {},
        month = {},
        }