The need for exact distributions in probabilistic fault detection design is hardly fulfilled. recent moment-based distributionally robust (DRFD) secures robustness against inexact but suffers from over-pessimism. To address this issue, we develop a new DRFD scheme by using unimodality, ubiquitous property of real-life distributions. evaluate worst-case false alarm rates, generalized Gauss bound...

In this paper, robust fault detection based on adaptive threshold generation of a non-linear system described by means of a linear parameter-varying (LPV) model is addressed. Adaptive threshold is generated using an interval LPV observer that generates a band of predicted outputs taking into account the parameter uncertainties bounded using intervals. An algorithm that propagates the uncertaint...

This paper describes a method for designing sliding mode observers for detection and reconstruction of faults, that is robust against system uncertainty. The method uses H∞ concepts to design the observer, minimising the effect of the uncertainty on the reconstruction of the faults. A VTOL aircraft example taken from the fault detection literature is used to demonstrate the method and its effec...

This paper addresses the robust fault detection and estimation problem of nonlinear descriptor system with unknown inputs observers. The considered nonlinear descriptor system is transformed into an equivalent multi-models form by using the Takagi-Sugeno (T-S) approach. Two cases are considered: the first one deals with the multi-models with measurable decision variables and the second one assu...

The monitor concept provides a structured and flexible high-level programming construct to control concurrent accesses to shared resources. I t has been widely used in a concurrent programming environment for implicitly ensuring mutual exclusion and explicitly achieving process synchronization. This paper proposes an extension to the monitor construct for detecting run time errors in monitor op...

Fault detection (FD) is important for health monitoring and safe operation of dynamical systems. Previous studies use model-based approaches which are sensitive to system specifics, attenuating the robustness. Data-driven methods have claimed accurate performances scale well different cases, but algorithmic structures enclosed operations “black,” jeopardizing its To address these issues, exempl...

In this paper a parallel Hybrid Electric Vehicle (HEV) is simulated based on the faulty condition. A dynamic output feedback robust Fault detection technique is used to evaluate the faulty condition when the missoperation cause that the output torque of parallel HEV, has been disturbed. This paper presents the fault detection method based on the mixed H2/H∞ approach, if the measuring signals ar...