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On-line model-based fault detection and isolation for PEM fuel cell stack systems Rosich, Albert ; ; in Applied Mathematical Modelling (in press) Efficient and reliable operation of Polymer Electrolyte Membrane (PEM) fuel cells are key requirements for their successful commercialization and application. The use of diagnostic techniques enables the ... [more ▼] Efficient and reliable operation of Polymer Electrolyte Membrane (PEM) fuel cells are key requirements for their successful commercialization and application. The use of diagnostic techniques enables the achievement of these requirements. This paper focuses on model-based fault detection and isolation (FDI) for PEM fuel cell stack systems. The work consists in designing and selecting a subset of consistency relations such that a set of predefined faults can be detected and isolated. Despite a nonlinear model of the PEM fuel cell stack system will be used, consistency relations that are easily implemented by a variable back substitution method will be selected. The paper also shows the significance of structural models to solve diagnosis issues in complex systems. [less ▲] Detailed reference viewed: 315 (18 UL)Model-based Optimal Sensor Placement Approaches to Fuel Cell Stack System Fault Diagnosis ; ; Rosich, Albert in Fault Detection, Supervision and Safety of Technical Processes, Volume# 8 | Part# 1 (2012) The problem of optimal sensor placement for FDI consists in determining the set of sensors that minimizes a pre-defined cost function satisfying at the same time a pre-established set of FDI ... [more ▼] The problem of optimal sensor placement for FDI consists in determining the set of sensors that minimizes a pre-defined cost function satisfying at the same time a pre-established set of FDI specifications for a given set of faults. This paper recalls three model-based optimal sensor location approaches: an Incremental search, a Heuristic search and a Binary Integer Linear Programming (BILP) formulation. The main contribution of this paper is a comparative study that addresses efficiency, flexibility and other issues. The performance of the approaches is demonstrated by an application to a fuel cell stack system. [less ▲] Detailed reference viewed: 127 (13 UL)Sensor Placement for Fault Diagnosis Performance Maximization under Budgetary Constraints ; ; Rosich, Albert in 2nd International Conference on Systems and Control (2012) This paper presents a strategy based on fault diagnosability maximization to optimally locate sensors in complex systems. The goal is to characterize and determine a sensor configuration that guarantees a ... [more ▼] This paper presents a strategy based on fault diagnosability maximization to optimally locate sensors in complex systems. The goal is to characterize and determine a sensor configuration that guarantees a maximum degree of diagnosability and does not exceed a maximum sensor configuration cost. The strategy is based on the structural system model. Structural analysis is a powerful tool for dealing with complex nonlinear systems. The proposed approach is successfully applied to a Fuel Cell Stack System. [less ▲] Detailed reference viewed: 65 (9 UL)Sensor Placement for Fault Diagnosis Performance Maximization in Distribution Networks ; ; Rosich, Albert in Control & Automation (MED), 2012 20th Mediterranean Conference on (2012) The success of any diagnosis strategy critically depends on the sensors measuring process variables. This paper presents a strategy based on diagnosability maximization for optimally locating sensors in ... [more ▼] The success of any diagnosis strategy critically depends on the sensors measuring process variables. This paper presents a strategy based on diagnosability maximization for optimally locating sensors in distribution networks. The goal is to characterize and determine the set of sensors that guarantees a maximum degree of diagnosability taking into account a given sensor configuration cardinality constraint. The strategy is based on the structural model of the system under consideration. Structural analysis is a powerful tool for determining diagnosis possibilities and evaluating whether the number and the location of sensors are adequate in order to meet some diagnosis specifications. The proposed approach is successfully applied to leakage detection in a Drinking Water Distribution Network. [less ▲] Detailed reference viewed: 95 (3 UL)Optimal Sensor Placement for Leakage Detection and Isolation in Water Distribution Networks Rosich, Albert ; ; in Fault Detection, Supervision and Safety of Technical Processes, Volume# 8 | Part# 1 (2012) In this paper, the problem of leakage detection and isolation in water distribution networks is addressed applying an optimal sensor placement methodology. The chosen technique is based on structural ... [more ▼] In this paper, the problem of leakage detection and isolation in water distribution networks is addressed applying an optimal sensor placement methodology. The chosen technique is based on structural models and thus it is suitable to handle non-linear and large scale systems. A drawback of this technique arises when costs are assigned uniformly. A main contribution of this paper is the proposal of an iterative methodology that focuses on identifying essential sensors which ultimately leads to an improvement of the optimal search efficiency. The algorithm presented in this work is successfully applied to a District Metered Area (DMA) in the Barcelona water distribution network. [less ▲] Detailed reference viewed: 132 (6 UL)Fault Diagnosis Based On Causal Computations Rosich, Albert ; ; et al in IEEE Transactions on Systems, Man and Cybernetics. Part A, Systems and Humans (2011), 42(2), 371-381 This paper focuses on residual generation for model-based fault diagnosis. Specifically, a methodology to derive residual generators when nonlinear equations are present in the model is developed. A main ... [more ▼] This paper focuses on residual generation for model-based fault diagnosis. Specifically, a methodology to derive residual generators when nonlinear equations are present in the model is developed. A main result is the characterization of computation sequences that are particularly easy to implement as residual generators and that take causal information into account. An efficient algorithm, based on the model structure only, which finds all such computation sequences, is derived. Furthermore, fault detectability and isolability performances depend on the sensor configuration. Therefore, another contribution is an algorithm, also based on the model structure, that places sensors with respect to the class of residual generators that take causal information into account. The algorithms are evaluated on a complex highly nonlinear model of a fuel cell stack system. A number of residual generators that are, by construction, easy to implement are computed and provide full diagnosability performance predicted by the model. [less ▲] Detailed reference viewed: 102 (7 UL)Optimal Sensor Placement For Fuel Cell System Diagnosis using BILP Formulation ; ; Rosich, Albert in Control & Automation (MED), 2010 18th Mediterranean Conference on (2010) This paper presents the application of a new methodology for Fault Detection and Isolation (FDI) to a Fuel Cell System. The work is devoted to find an optimal set of sensors for model-based FDI. The ... [more ▼] This paper presents the application of a new methodology for Fault Detection and Isolation (FDI) to a Fuel Cell System. The work is devoted to find an optimal set of sensors for model-based FDI. The novelty is that binary integer linear programming (BILP) is used in the optimization formulation, leading to a reformulation of the detectability and isolability specifications as linear inequality constraints. The approach has been successfully applied to a Fuel Cell System. [less ▲] Detailed reference viewed: 101 (4 UL)Sensor Placement for Fault Diagnosis Based On Causal Computations Rosich, Albert ; ; et al in Fault Detection, Supervision and Safety of Technical Processes (2009) This work develops a methodology to solve the sensor placement problem for fault detection and isolation. The proposed methodology is suitable to handle highly non-linear and large scale systems since it ... [more ▼] This work develops a methodology to solve the sensor placement problem for fault detection and isolation. The proposed methodology is suitable to handle highly non-linear and large scale systems since it is based on structural models. Furthermore, causality is assigned in those variable-equation relations that the variable can be computed from the equation in order to guarantee the computability of the unknown variables in the residual generation design. Finally, the developed methodology is applied on an air compressor model. [less ▲] Detailed reference viewed: 144 (2 UL)Optimal Sensor Placement for FDI using Binary Integer Linear Programming Rosich, Albert ; ; in 20th International Workshop on Principles of Diagnosis (2009) This work is devoted to find an optimal set of sensors for model-based FDI. The novelty is that linary integer linear programming is used in the optimization problem, leading to a formulation of the ... [more ▼] This work is devoted to find an optimal set of sensors for model-based FDI. The novelty is that linary integer linear programming is used in the optimization problem, leading to a formulation of the detectability and isolability specifications as linear inequality constraints. Furthermore, a very detailed system model is not needed since the methodology handles structural models. The approach has been successfully applied to a two-tank system, as an illustrative example. [less ▲] Detailed reference viewed: 170 (3 UL)Fuel Cell System Diagnosis based on a Causal Structural Model Rosich, Albert ; ; in Fault Detection, Supervision and Safety of Technical Processes (2009) In this work, a diagnosis system is developed and applied to a fuel cell stack system. The paper shows the significance of structural models to solve diagnosis issues in large scale systems. The diagnosis ... [more ▼] In this work, a diagnosis system is developed and applied to a fuel cell stack system. The paper shows the significance of structural models to solve diagnosis issues in large scale systems. The diagnosis system based on residual generation by means of the computation of causal MSO sets (Minimal Structural Overdetermined) is capable of detecting and isolating faults in the fuel cell system. [less ▲] Detailed reference viewed: 125 (3 UL)Optimal Sensor Placement for Model-Based Fault Detection and Isolation ; ; et al in Decision and Control, 2007 46th IEEE Conference on (2007) The problem of optimal sensor placement for FDI consists in determining the set of sensors that minimizes a pre-defined cost function satisfying at the same time a pre- established set of FDI ... [more ▼] The problem of optimal sensor placement for FDI consists in determining the set of sensors that minimizes a pre-defined cost function satisfying at the same time a pre- established set of FDI specifications for a given set of faults. The main contribution of this paper is to propose an algorithm for model-based FDI sensor placement based on formulating a mixed integer optimization problem. FDI specifications are translated into constraints of the optimization problem considering that the whole set of ARRs has been generated, under the assumption that all candidate sensors are installed. To show the effectiveness of this approach, an application based on a two-tanks system is proposed. [less ▲] Detailed reference viewed: 88 (1 UL)Efficient Optimal Sensor Placement for Model-Based FDI using an Incremental Algorithm Rosich, Albert ; ; et al in Decision and Control, 2007 46th IEEE Conference on (2007) The problem of optimal sensor placement for FDI consists in determining the set of sensors that minimizes a pre-defined cost function satisfying at the same time a pre-established set of FDI ... [more ▼] The problem of optimal sensor placement for FDI consists in determining the set of sensors that minimizes a pre-defined cost function satisfying at the same time a pre-established set of FDI specifications for a given set of faults. Existing approaches are mainly based on formulating an optimization problem once the sets of all possible ARRs has been generated, considering all possible candidate sensors installed. However, the associated computational complexity is exponential with the number of possible sensors. The main goal of this paper is to propose an incremental algorithm for FDI sensor placement that tries to avoid the computational burden. To show the effectiveness of this approach, an application based on a fuel-cell system is proposed. [less ▲] Detailed reference viewed: 72 (3 UL)Fault-Tolerant Explicit MPC of PEM Fuel Cells ; Rosich, Albert ; et al in Decision and Control, 2007 46th IEEE Conference on (2007) In this paper, fault-tolerant explicit MPC control of fuel cell systems is presented. MPC is one of the control methodologies that allows to introduce fault-tolerance more easily. Here, this capability is ... [more ▼] In this paper, fault-tolerant explicit MPC control of fuel cell systems is presented. MPC is one of the control methodologies that allows to introduce fault-tolerance more easily. Here, this capability is extended using recent explicit MPC control theory. Explicit MPC control allows to derive offline the control without using optimization. Moreover, it allows to introduce as additional parameters faults since it is based on parametric programming. This makes possible to change in real-time controller parameters without recomputing the MPC controller or having a bank of pre-computed MPC controllers. Finally, the proposed approach is assessed on a known test bench PEM fuel cell system. [less ▲] Detailed reference viewed: 90 (2 UL) |
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