Distributed Soft Fault Detection for Interval Type-2 Fuzzy-Model-Based Stochastic Systems With Wireless Sensor Networks

• Published in: IEEE transactions on industrial informatics Vol. 15; no. 1; pp. 334 - 347
• Main Authors: Gao, Yabin, Xiao, Fu, Liu, Jianxing, Wang, Ruchuan
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Asymptotic stability; Attenuation; Computer simulation; Decoupling; Distributed filtering; Fault detection; Fuzzy systems; Independent variables; Loss measurement; Mathematical models; Nonlinear systems; Operating systems; Random variables; Remote sensors; Robot sensing systems; Sensors; Stability analysis; Stochastic systems; Symmetric matrices; Takagi–Sugeno (T–S) fuzzy model; Wireless sensor networks; wireless sensor networks (WSNs)

In this paper, a distributed filtering scheme is presented to deal with the fault detection problem of nonlinear stochastic systems with wireless sensor networks (WSNs). The nonlinear stochastic systems, which are of discrete-time form, are represented by interval type-2 (IT2) Takagi-Sugeno (T-S) fu...