Journal ArticleDOI
Distributed Fault Diagnosis With Overlapping Decompositions: An Adaptive Approximation Approach
TLDR
The use of a specially-designed consensus-based estimator is proposed in order to improve the detectability of faults affecting variables shared among different subsystems, and results provide an evidence of the effectiveness of the proposed distributed fault detection scheme.Abstract:
This technical note deals with the problem of designing a distributed fault detection methodology for distributed (and possibly large-scale) nonlinear dynamical systems that are modelled as the interconnection of several subsystems. The subsystems are allowed to overlap, thus sharing some state components. For each subsystem, a local fault detector is designed, based on the measured local state of the subsystem as well as the transmitted variables of neighboring states that define the subsystem interconnections. The local detection decision is made on the basis of the knowledge of the local subsystem dynamic model and of an adaptive approximation of the interconnection with neighboring subsystems. The use of a specially-designed consensus-based estimator is proposed in order to improve the detectability of faults affecting variables shared among different subsystems. Simulation results provide an evidence of the effectiveness of the proposed distributed fault detection scheme.read more
Citations
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Journal ArticleDOI
Fault diagnosis of a class of nonlinear uncertain systems with Lipschitz nonlinearities using adaptive estimation
TL;DR: This paper presents a fault detection and isolation (FDI) scheme for a class of Lipschitz nonlinear systems with nonlinear and unstructured modeling uncertainty that significantly extends previous results by considering a more general class of system nonlinearities which are modeled as functions of the system input and partially measurable state variables.
Journal ArticleDOI
Distributed Fault Detection and Isolation of Large-Scale Discrete-Time Nonlinear Systems: An Adaptive Approximation Approach
TL;DR: The use of a specially-designed consensus-based estimator is proposed in order to improve the detectability and isolability of faults affecting variables shared among overlapping subsystems and simulation results are reported showing the effectiveness of the proposed methodology.
Journal ArticleDOI
Distributed Fault Detection and Isolation Resilient to Network Model Uncertainties
TL;DR: This paper proposes a distributed scheme to jointly detect and isolate faults occurring in nodes and edges of the system and proposes a novel distributed FDI scheme based on local models and measurements that is resilient to changes outside of the local subsystem and achieves FDI.
Journal ArticleDOI
Data-Driven Distributed Local Fault Detection for Large-Scale Processes Based on the GA-Regularized Canonical Correlation Analysis
TL;DR: This work studies the data-driven distributed local fault detection problem for large-scale processes with interconnected subsystems and develops a genetic algorithm (GA)-regularized canonical correlation analysis (CCA)-based distributedLocal fault detection scheme.
Journal ArticleDOI
Adaptive Approximation for Multiple Sensor Fault Detection and Isolation of Nonlinear Uncertain Systems
TL;DR: A simulation example of a single-link robotic arm is used to illustrate the application of the adaptive approximation-based SFDI methodology and its effectiveness in detecting and isolating multiple sensor faults.
References
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Unreliable failure detectors for reliable distributed systems
Tushar Deepak Chandra,Sam Toueg +1 more
TL;DR: It is proved that Consensus and Atomic Broadcast are reducible to each other in asynchronous systems with crash failures; thus, the above results also apply to Atomic Broadcast.
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Survey of decentralized control methods for large scale systems
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Proceedings ArticleDOI
Consensus Filters for Sensor Networks and Distributed Sensor Fusion
Reza Olfati-Saber,Jeff S. Shamma +1 more
TL;DR: This paper introduces a distributed filter that allows the nodes of a sensor network to track the average of n sensor measurements using an average consensus based distributed filter called consensus filter.
Journal ArticleDOI
A robust detection and isolation scheme for abrupt and incipient faults in nonlinear systems
TL;DR: The analysis of the proposed fault isolation scheme provides rigorous analytical results concerning the fault isolation time, and two simulation examples are given to show the effectiveness of the fault diagnosis methodology.
BookDOI
Adaptive approximation based control : unifying neural, fuzzy and traditional adaptive approximation approaches
TL;DR: In this article, the authors present an algorithm for adaptive linear design based on approximate approximator with linear linear design (ALD) and linear design with nonlinear design (NLD).