Robust multiple‐fault detection and isolation: A gradient flow approach

Casavola, Alessandro; Famularo, Domenico; Franzè, Giuseppe

doi:10.1002/acs.1018

Cited by 4 publications

(3 citation statements)

References 22 publications

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“…Results show the interdependency between modelling for diagnosis and the feature extraction system. Casavola et al [4] introduced a solution to the fault detection and isolation observer design problem for LTI systems is presented. A gradient low approach is proposed for synthesizing an optimal observer under eigenstructure assignment which is robust against unstructured uncertainties.…”

Section: A Fault Detection and Isolation Observer Based Methodsmentioning

confidence: 99%

A smart design of coolant tank leak testing equipment in car manufacture using fault detection and isolation observer based method

Zhang

2008

2008 3rd IEEE Conference on Industrial Electronics and Applications

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In car manufacture industry (in Shanghai), we need to do leak test for coolant tank. Normally, many coolant tanks e.g. 5 have to be tested at the same time. The traditional test system has only one pressured liquid input with a single pressure sensor and a temperature sensor to monitor and control the coolant tank leak test system. Once a tank leaked, it was difficult to identify which one in testing had been leaking. This paper presents a smart design of the test equipment for a coolant tank leak test using existing testing equipment. This design applied Fault Detection and Isolation Observer based method.

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Section: A Fault Detection and Isolation Observer Based Methodsmentioning

confidence: 99%

A smart design of coolant tank leak testing equipment in car manufacture using fault detection and isolation observer based method

Zhang

2008

2008 3rd IEEE Conference on Industrial Electronics and Applications

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“…To this end, consider the system of Equation (11) where for each control configuration: (1) a family of robust controllers of the form of Equations (12)- (13) have been designed, (2) the monitoring regions …”

Section: Robust Stability-based Actuator Reconfigurationmentioning

confidence: 99%

“…The problems of fault detection and isolation (FDI) and fault-tolerant control (FTC) of dynamic systems have been the focus of considerable research interest over the past few decades in both the academic and industrial circles (see, for example, [1][2][3][4][5][6][7][8][9][10][11][12][13] and the references therein). Despite the extensive and growing body of literature on these topics, most of the available methods have been developed for spatially homogeneous processes modeled by systems of ordinary differential equations.…”

Section: Introductionmentioning

confidence: 99%

Robust diagnosis and fault‐tolerant control of distributed processes over communication networks

Ghantasala

El‐Farra

2008

Adaptive Control & Signal

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This paper develops a robust fault detection and isolation (FDI) and fault-tolerant control (FTC) structure for distributed processes modeled by nonlinear parabolic partial differential equations (PDEs) with control constraints, time-varying uncertain variables, and a finite number of sensors that transmit their data over a communication network. The network imposes limitations on the accuracy of the output measurements used for diagnosis and control purposes that need to be accounted for in the design methodology. To facilitate the controller synthesis and fault diagnosis tasks, a finite-dimensional system that captures the dominant dynamic modes of the PDE is initially derived and transformed into a form where each dominant mode is excited directly by only one actuator. A robustly stabilizing bounded output feedback controller is then designed for each dominant mode by combining a bounded Lyapunov-based robust state feedback controller with a state estimation scheme that relies on the available output measurements to provide estimates of the dominant modes. The controller synthesis procedure facilitates the derivation of: (1) an explicit characterization of the fault-free behavior of each mode in terms of a time-varying bound on the dissipation rate of the corresponding Lyapunov function, which accounts for the uncertainty and networkinduced measurement errors and (2) an explicit characterization of the robust stability region where constraint satisfaction and robustness with respect to uncertainty and measurement errors are guaranteed. Using the fault-free Lyapunov dissipation bounds as thresholds for FDI, the detection and isolation of faults in a given actuator are accomplished by monitoring the evolution of the dominant modes within the stability region and declaring a fault when the threshold is breached. The effects of network-induced measurement errors are mitigated by confining the FDI region to an appropriate subset of the stability region and enlarging the FDI residual thresholds appropriately. It is shown that these safeguards can be tightened or relaxed by proper selection of the sensor spatial configuration. Finally, the implementation of the networked FDI-FTC architecture on the infinite-dimensional system is discussed and the proposed methodology is demonstrated using a diffusion-reaction process example.

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Parameter identification strategy for online detection of faults in smart structures for energy harvesting and sensing

Maruccio

Montegiglio

Kefal

2020

Procedia Structural Integrity

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Robust multiple‐fault detection and isolation: A gradient flow approach

Cited by 4 publications

References 22 publications

A smart design of coolant tank leak testing equipment in car manufacture using fault detection and isolation observer based method

A smart design of coolant tank leak testing equipment in car manufacture using fault detection and isolation observer based method

Robust diagnosis and fault‐tolerant control of distributed processes over communication networks

Parameter identification strategy for online detection of faults in smart structures for energy harvesting and sensing

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