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This paper investigates the detection filter design problem for the detection and isolation of faults in linear parameter varying (LPV) systems by means of dynamic inversion where the system matrix depends affinely from the parameters. A method for the construction of the inverse, relying on the concept of parameter varying invariant subspaces and related concepts of classical geometrical system theory...
In this paper the design of sliding mode observers for gyro and thruster fault detection and isolation in the Mars Express satellite is presented. The results are part of a project with the goal of examining the potential applicability of the sliding mode observer technique to on-board satellite deployment. A Monte Carlo campaign has been performed to assess the performance and robustness of the sliding...
Significant research has been carried out over the past three decades in the area of fault tolerant control. Most methods available in the chemical engineering literature are capable of detecting, identifying, estimating and accommodating faults for nonlinear processes with continuous states without state dependent and controlled switching. This work is aimed at developing a method for diagnosing...
This work focuses on fault detection applied to static converters. A new method for estimating parameters of dynamic model of the buck converter is proposed, based on recent algebraic parameters estimators. The diagnosis scheme developed in this paper computes online the filter capacitor aging by determining the equivalent series resistance (ESR). The capacitance and inductance value are also estimated...
This paper deals with the fault detection occurred in the mechanical position sensor of a mechatronic actuator Pierburg which is used in the BMW M57 diesel engine. This actuator is in charge of the control of the input air in the vehicle engine. Concretely, it is located between the throttle valve and the combustion chamber. It is supposed to ensure the control of air flow entering to the cylinder...
This paper presents an identification method of Multi-Input Multi-Output (MIMO) dynamic systems based on the Group Method of Data Handing. In particular, a new structure of the dynamic neuron is proposed. The synthesis of the neural model is performed with the application of the pole estimation approach. The final part of this work contains an illustrative example regarding the application of the...
This paper is concerned with the fusion of information from process data and process connectivity and its subsequent use in fault detection and isolation and hazard assessment. The Signed Directed Graph (SDG), as a graphical model for capturing process topology and connectivity to show the causal relationships between process variables by flow and information paths, has been widely used in root cause...
The work treats the problem of fault detection for processes described by partial differential equations as that of maximizing the power of a parametric hypothesis test which checks whether or not system parameters have nominal values. A simple node activation strategy is discussed for the design of a sensor network deployed in a spatial domain that is supposed to be used while detecting changes in...
In this work, a new fault tolerant control (FTC) methodology is proposed to deal with the potential problems due to possible fault scenarios. For this purpose, a state estimation scheme has been developed using an adaptive unscented Kalman filter (AUKF) approach. A fuzzy-based decision making (FDM) algorithm is introduced to diagnose sensor and/or actuator faults. The proposed fault detection and...
This paper deals with switching detection and recognition of current operating mode in hybrid systems, where the nonlinear modes are represented by a Takagi Sugeno model. A data-based projection method is used to generate a set of signals, named residuals. This method uses only the input/output known signals and the kind of model (linear, bilinear, ...); the precise value of the model parameters is...
This paper deals with state estimation and fault detection in the presence of unknown but bounded state perturbations and measurement noise. In this context, most available results are for linear models. Based on interval analysis, a state estimator for nonlinear dynamical systems is presented. Given the perturbation and noise bounds, the proposed method evaluates a set estimate guaranteed to contain...
This paper proposes a fault detection method for hysteretic base-isolation systems. One of the key contributions of this work is a Lyapunov-based restoring force observer that leads to the design of a robust fault detection scheme. The different fault types considered are stiffness and damping variations in the system. The proposed fault estimation method provides a direct estimate of the size and...
In this paper, a model-based fault diagnosis methodology for PEM fuel cell systems is presented. The methodology is based on computing residuals using a LPV observer. The problem of robustness is faced using adaptive thresholds generated with interval observers. Fault isolation is performed using structured residuals once the fault has been detected. The algorithm proposed here is able to identify...
This paper presents a procedure of fault detection and isolation of proton exchange membrane (PEM) fuel cell based on its mathematical model by nonlinear analytical redundancy approach. The model is simplified into five nonlinear state equations representation. The transient phenomena captured in the model include the compressor dynamics, the flow characteristics, mass and energy conservation and...
This paper focuses on sensor fault detection and isolation (FDI) problem by enhancement of a parity space approach. Indeed, faulty sensor can degrade overall system performances, especially in electrical drives where inner current control loops are very fast and based on sensors outputs. Parity space theory is investigated in the context of general FDI algorithm generation for second-order systems,...
Nowadays, fault diagnosis systems design should have into account the distribution and complexity of the process and must be able to cooperate and communicate with other systems to achieve satisfactory performance. To this end a new agent based fault detection system for networked control process is proposed in this paper. A hybrid architecture based on horizontal layers as fault detection (FD) agents...
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