Graphical tools for generating qualitative redundant relations

Smaili, Rahma; Harabi, Rafika El; Abdelkrim, Mohamed Naceur

doi:10.1504/ijrs.2016.076344

Cited by 2 publications

(2 citation statements)

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“…In Ould‐Bouamama et al, the causal and structural properties of the BG model are used not only for system dynamics simulation but also to design FDI algorithms for online supervision of faults affecting sensors, actuators, and physicochemical components and phenomena. For details regarding BG‐based FDI, one is referred to the previous studies …”

Section: Problem Formulation and Related Workmentioning

confidence: 99%

“…For details regarding BG-based FDI, one is referred to the previous studies. [20][21][22] On the other hand, the PH formalism is especially of great importance regarding the modeling, control, and fault detection of systems due to many advantages, which explain why it is desired to preserve the particular structure. One of the strong aspects of the PH formalism is to expose the relations between the energy storage, dissipation, and interconnection structure; this framework underscores the physics of the system, and it ensures power conservative interconnections through the Dirac structures.…”

Section: Related Workmentioning

confidence: 99%

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A comparative study of energetic model-based fault detection using HBG and COG formalisms

Atitallah

Harabi

Abdelkrim

2017

Int Trans Electr Energ Syst

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Summary The problem of modeling and fault detection in an electromechanical system having a graphical representation is considered. For this system's dynamics, motivated by a desire to provide a precise fault detection procedure using a unified energy‐based framework, 2 energy‐based graphical formalisms are presented and compared: the Hamiltonian Bond Graph and the Causal Ordering Graph. Firstly, easily calculated from the Hamiltonian Bond Graph representation covering the causal energetic paths, the energetic residual generators are systematically deduced by comparing the energy quantity in both normal and faulty situations. Secondly, the causal and structural properties of the Causal Ordering Graph tool can be used to design an observer devoted to fault detection so as to derive directly energy‐based residual generators in terms of faults. To highlight the effectiveness and applicability of 2 proposed approaches, simulation results on DC motor are provided and discussed. The performances of these fault detection schemes are compared and discussed in detail with respect to existing methods.

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Section: Problem Formulation and Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%