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This note is a contribution to the problem of leakage detection in irrigation networks. The main goal is to reduce the lost water due to the leakages. This lost water represents a source of useless electrical energy spending. The problem is tackled by using water volume-balance method. The considered case study concerns the irrigation network of Carpentras, situated in south of France (see Fig. 1).
The paper presents the results of an analysis of the inter-turn fault effects on the voltage and current waveform of the capacitor discharge through transformer winding. The research was done within the FAIR project for which a measuring and diagnostic system for testing the condition of electrical circuits of superconducting electromagnets system is being developed. Appropriate measurements and simulations...
CCAMY systems in partnership with Lille University currently develops Emulatio: a simulation and diagnosis platform for multi-physic systems, using Hybrid Bond Graph. This platform is devoted to automatically build model of industrial Computer-Aided Design schematics, then generate Block-Diagrams for simulation and export Global Analytical Redundancy Relations for model-diagnosis. For this task, a...
In this paper, a diagnosis method for time-delay fractional systems is developed. The fault detection and isolation are ensured by the use of a bank of unknown input fractional observers. Theoretical development leads to the obtention of the observer parameters in order to engender structured residuals. A numerical example illustrating the validity of the method in fault detection and isolation is...
From the point of view of simple construction and high efficiency, the majority of all installed motors are induction machines (IM) today, therefore IM have found your place as drives in a lot of applications. At the beginning of the twenty-first century, the significant attention is paid research and development of high speed induction machines, their design, overall drive concept and used materials...
This paper proposes a design method of a support tool for detection and diagnosis of failures in discrete event systems (DES). The design of this diagnoser goes through three phases: an identification phase and finding paths and temporal parameters of the model describing the two modes of normal and faulty operation, a detection phase provided by the comparison and monitoring time operation and a...
System in which the dynamical behavior evolves based on the interaction between the continuous and discrete dynamics, present in the system, are called hybrid systems. For these systems, maintenance and repair are an increasing part of the total cost of final product. Efficient diagnosis and prognosis techniques have to be adopted to detect, isolate and anticipate faults. This paper presents a novel...
In this paper, a model-based diagnosis method, called Luenberger diagnosis observer, recently developed for fractional order systems, is extended for time-delay fractional systems. A sufficient convergence condition of the fault indicator using Bilinear Matrix Inequalities is detailed. A numerical example illustrating the method's validity in detecting faults is finally presented.
This paper is dedicated to development of new approach to synthesis of highly reliable speed control systems of multilink manipulator (MM). These control systems provide guaranteed performance of technological operations as fast as possible at the faults presence in actuators of these manipulators. Simulation results confirmed the efficiency of the proposed approach.
In this work we use a new representation for linear MISO system entitled ARX-Laguerre MISO model in order to detect faults by developing a new structure of proportional observer. This is covered without using physical modeling of the system (such as a system of differential equations) but by filtering the inputs and the output of the system. Therefore, the proposed proportional observer aims to estimate...
Diagnosis is a main requirement in the industrial. In this paper we focus on hybrid dynamic system. HDS combines continuous and discrets behaviors. The aim is the implementation of a fault diagnostic tool using hybrid automata. We focus in this part in modelisation. This approach is implemented on heating filling system.
This paper deals the diagnosis of hybrid systems. The objective is the integration of these two modeling tools: Observers and Timed Automata for the design of a global diagnostic model. The latter allows to detect and locate faults, minimize repair time and provide a reliable diagnosis and easily readable despite the complexity of the equipment. As regards methodology, the work consists in automate...
In this paper, a fault diagnosis method is presented in order to detection the inter-turn short circuit fault in permanent magnet synchronous motor (PMSM) based on the comparative analysis of two types of controllers. This study consists in the sliding mode control (SMC) of the (PMSM) and the two controllers (fuzzy logic controller (FLC) and Adaptive fuzzy logic controller (AFLC) by taking account...
In the present paper, a novel multi-criterion approach has been proposed for assessing the overall health condition of the transformer oil. Twenty five transformer oil samples collected from Himachal Pradesh State Electricity Board, India were used as data samples for testing and validating the proposed technique. Five effective dissolved gases in oil samples namely hydrogen, methane, acetylene, ethylene...
This paper handles the fault detection for the nonlinear systems described in Takagi-Sugeno (TS) form. The TS model is obtained by the sector nonlinearity transformation, representing in an exact way the nonlinear model in a compact of the state space. The used method of diagnosis is obtained by an analytical approach based on parity relations. The generation of residual signal is supplied by the...
Rotating machines are widely used in the industry; all these machines in operation produce vibrations phenomena caused by dynamic forces generated in moving parts of these equipments. This work propose the development of fault diagnosis system for the vibration detection and isolation based on artificial intelligence using artificial neural networks, applied to a gas turbine system, in order to secure...
A fundamental part of a fault diagnosis system is the residual generator. Design of residual generators to achieve perfect decoupling in linear systems is considered. A new method, the minimal polynomial basis approach, is presented, where the residual generation problem is transformed into the problem of finding polynomial bases for null-spaces of polynomial matrices. This is a standard problem in...
We compare two methods for diagnosing faults using imprecise dynamic models and imprecise measurements. By imprecise we mean that a parameter or measurement is only known to an interval rather than a point on the real number line. The first uses ‘Temporal Band Sequences’ (TBS — due to [loi96]) to encode the measurements and parameters — it checks the consistency of these sequences against the model...
DC-DC converters are used to interconnect solar photovoltaic (PV) to a dc microgrid or to a battery. Capacitors are connected at the output of a PV terminal to minimize power pulsation. Operational life of capacitor decreases due to various electrical and environmental parameters. In this paper, a method for condition monitoring of the capacitors used in PV system is proposed. The technique combines...
Predicting defect level (DL) using fault coverage is an extremely difficult task but if can be accomplished ensures high quality while controlling test cost. Because IC testing now involves generating and combining tests from multiple fault models, it is important to understand how the coverage from each fault model relates to the overall DL. In this work, a new model is proposed which learns the...
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