Showing papers by "Mahdi Aliyari Shoorehdeli published in 2018"
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TL;DR: An algorithm is developed and implemented that is able to assess the tolerance of the NMPC controller by representing the nonlinear model of the system in a linear parameter varying (LPV) form and using zonotopes to evaluate viability sets.
14 citations
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TL;DR: A novel method to detect and diagnose defects of high-density polyethylene (HDPE) pipelines as a case study is introduced.
Abstract: This paper investigates the condition of polyethylene (PE) pipelines as a case study. This study introduces a novel method to detect and diagnose defects of high-density polyethylene (HDPE)...
13 citations
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TL;DR: A novel fuzzy robust fault estimation scheme is developed for a class of nonlinear systems when both fault and disturbance are considered, and the Takagi–Sugeno model is used to create multiple models.
Abstract: In this study, a novel fuzzy robust fault estimation scheme is developed for a class of nonlinear systems when both fault and disturbance are considered. The proposed scheme includes component fault with a nonlinear distribution matrix; as a result, the Takagi–Sugeno model is used to create multiple models. While the Takagi–Sugeno model is used for only the nonlinear distribution matrix of the fault signal, a larger category of nonlinear systems will be considered. This paper presents the problem of robust fault estimation based on fuzzy nonlinear observers, the first one is a fuzzy unknown input observer and the other one is a fuzzy sliding mode observer. The approach decoupled the faulty subsystem from the rest of the system through a series of transformations. Then, the objective is to design a fuzzy unknown input observer guaranteeing the asymptotic stability of the error dynamic using the Lyapunov method and completely removing disturbances; meanwhile, a fuzzy sliding mode observer is designed for a ...
11 citations
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TL;DR: FDI is based on checking for an inconsistency between the measured and predicted behaviours using viability theory concepts and sets using simple sets that approximate the exact set of possible behaviour.
Abstract: This paper proposes the use of interval observers and viability theory in fault detection and isolation (FDI). Viability theory develops mathematical and algorithmic methods for investigating the v...
9 citations
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4 citations
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01 Feb 2018TL;DR: A new two-part structure for fault diagnosing and identifying of high-dimension systems has been presented, the first part of which consists of Auto-Encoder as Deep Neural Networks (DNNs) to produce features engineering process and summarize the features.
Abstract: Increasing the input dimension cause curse of dimensions which make the inefficiency of methods, especially in analysis and interpretation practically. In this paper, a new two-part structure for fault diagnosing and identifying (FDI) of high-dimension systems has been presented. The first part of which consists of Auto-Encoder (AE) as Deep Neural Networks (DNNs) to produce features engineering process and summarize the features, and the second part Local Models Networks (LMNs) with LOcal LInear MOdel Tree (LOLIMOT) algorithm to model outputs. Then the residual which generated by comparing output of system and obtained models in each condition is used to alarm faults. Standard laboratory Gas Turbine data is the case study for this structure. Finally, by comparing the simulated results with the several reliable works, the effectiveness of this proposed structure is well illustrated.
2 citations