Model-based Fault Diagnosis Techniques: Design Schemes, Algorithms, and Tools

By Steven X. Ding. 2008

2,287 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/5bebd17e86deb4ed93d8494b6d391f3706806a23

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In Control and Systems Engineering

Citations in the corpus

Attack models and scenarios for networked control systems (2012, background): “Several approaches to detecting malfunctions in control systems are available in the fault diagnosis literature [6,10].”
A new strategy for integration of fault estimation within fault-tolerant control (2016, background): “Several works have been published on some topics related to multiplicative faults, e.g., multiplicative fault modelling and diagnosis (Ding, 2008), and multiplicative fault estimation (Gao & Duan, 2012; Tan & Edwards, 2004; Wang & Daley, 1996).”
A review on model-based diagnosis methodologies for PEMFCs (2013, methodology): “The advantage of this methodology is its subspace framework, which is presented in form of linear algebraic equations [6].”
Bridging data-driven and model-based approaches for process fault diagnosis and health monitoring: A review of researches and future challenges (2016, methodology): “Ding et al. (2009) were also interested in identifying a priary form of residual generator from data, using parity space r observers. The main objective consisted in proving that oberver and parity space residuals can be obtained directly from est data, without using the process model. This approach”
Zonotopes and Kalman observers: Gain optimality under distinct uncertainty paradigms and robust convergence (2015, background): “Explicitly characterizing how the model and measurement uncertainties can influence the possible state values is also useful, not only when an automated decision-making is further required (e.g. fault diagnosis Ding, 2008), but also in some control frameworks (Efimov, Raïssi, & Zolghadri, 2013).”
Secure Control Systems: A Quantitative Risk Management Approach (2015, methodology): “uk Several approaches to detecting malfunctions in control systems are available in the fault diagnosis literature [7], [31].”
A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches (2015, methodology): “The parity relation approach can be applied to either time-domain state-space model or frequency-domain input-output model, which is well revisited by the books [40,41,82].”
Recent Advances on Fuzzy-Model-Based Nonlinear Networked Control Systems: A Survey (2016, background): “3) The fault detection and fault tolerant control problems for fuzzy-model-based networked nonlinear systems with various network-induced limitations would be another interesting topic [131].”