Fault detection and isolation in dynamic systems using statistical local approach and hybrid least squares algorithm

Athamena, Belkacem; Houhamdi, Zina; Muhairat, Mohammed

doi:10.3844/ajassp.2007.977.986

Cited by 5 publications

(6 citation statements)

References 7 publications

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“…Since ancient times, geothermal systems have piqued the interest of numerous scientists around the world. , There have been several investigations into the potential of geothermal water and hydroenvironment in Maghrebian nations. − Relevant research has been conducted in Tunisia, particularly. − Numerous studies on hydrothermal systems have been also carried out in Morocco. , Moreover, Algeria has been the subject of several studies exploring the potential of hydrothermal reservoirs …”

Section: Introductionmentioning

confidence: 99%

“…28,29 Moreover, Algeria has been the subject of several studies exploring the potential of hydrothermal reservoirs. 30 The Al-Lith region has been the subject of some earlier research. These studies looked at a variety of subjects, including geotechnical and engineering characteristics of the Al-Lith sabkha, 31 study of several geohazards in the region, such as sand dune movement and floods; 32 investigations of the chemistry of groundwater and pore water inside sabkha deposits, stratigraphic and sedimentological studies, mineralogy, and subsurface geology; 33 benthic foraminifera distribution and types from nearshore sediments between Al-Lith and Al-Qunfudah; 34 coastal sediments geomorphological, textural, mineralogical, and geochemical features; 35 and investigation of high permeable zones based on structural lineaments density analysis.…”

Section: Introductionmentioning

confidence: 99%

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Hydrochemical Characterization, Geothermometry, and Origin of Ain Al-Harrah Hot Spring and Its Relationship to Al-Lith Geothermal System, Saudi Arabia

Rafiq,

Abu-Mahfouz,

Soupios

et al. 2024

ACS Omega

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The Al-Lith geothermal field in western Saudi Arabia is a characteristic medium-high enthalpy geothermal system, exhibiting features associated with tectonic activities linked to the Red Sea rifting. Ain Al-Harrah hot spring is located in the Al-Lith field, with discharge temperatures varying from 56 to 81 °C. The determination of water temperature and composition in a geothermal reservoir is critical to the design of utilization strategies, surface production facilities, and choice of materials. This research presents a comprehensive hydrochemical characterization of the Ain Al-Harrah hot spring and its relationship with the underlying geothermal system. This study was conducted in two main phases; first, the fieldwork involved the collection of water samples from the hot spring, measuring the temperature, pH, and electrical conductivity (EC) of the water. The second phase involved laboratory analyses of the collected samples, including major and trace element analyses, isotopic analysis, and geothermometry. The dominant hydrogeochemical processes in the region were determined by analyzing the hydrochemistry of the water samples. Thermal waters analyzed exhibited high concentrations of Na + (410−463 mg/L), HCO 3 − (64.48−90 mg/L), and Cl − (472.76− 581.95 mg/L), intermediate levels of K + (50.2−93.0 mg/L), and low levels of Mg 2+ (1.27−2.04 mg/L). The total dissolved solids (TDS) concentration ranges between 1830 and 2055 mg/L. The hot spring is categorized as Na-HCO 3 type facies that are moderately alkaline, with pH values ranging between 7.9 and 8.2. Analysis of trace element concentrations revealed that the hydrochemical processes were primarily governed by the abundance and solubility of trace elements in the rocks surrounding the hot spring, the pH, and the temperature of the hot spring water. The stable isotope data for δD (−12.36 to 15.21%) and δ 18 O (−2.84 to −3.38%) provided evidence that the thermal spring is of meteoric origin. Based on Na−K−Ca, K 2 /Mg, and quartz geothermometers, the temperature range of the reservoir was determined to be between 150 and 205 °C. The temperature range suggests a medium-to-high enthalpy geothermal system.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Hydrochemical Characterization, Geothermometry, and Origin of Ain Al-Harrah Hot Spring and Its Relationship to Al-Lith Geothermal System, Saudi Arabia

Rafiq,

Abu-Mahfouz,

Soupios

et al. 2024

ACS Omega

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“…The parameter estimation method usually carries out fault diagnosis with the nonlinear parameter estimation method based on the nonlinear model. For example, fault detection algorithms are designed by improving the least squares method 13–15 or combining it with other algorithms. Based on the inertial measurement information of a navigation sensor and the least squares method that uses the numerous information fusion forgetting factors, Reference 16 achieved the online and real-time identification of the size of engine thrust and carried out the fault diagnosis of the engine with identified thrust sizes.…”

Section: Introductionmentioning

confidence: 99%

A method for fault diagnosis of power system of carrier rocket engine based on linear-quadratic receding time-domain algorithm

Zhang

Zhao

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part G:

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The article studies the fault diagnosis of the first-stage power system of a carrier rocket made up of multiple engines. It establishes the simplified 6-DOF nonlinear model and uses the extended Kalman filter to generate residual errors. The quadratic receding time-domain algorithm is used to detect faults, and estimation vector fault characteristics are used to estimate precisely the thrust loss degree. Faults are located with the direction of abrupt change in overload fault. The simulation results show that the method can quickly detect engine faults, estimate the thrust loss degree with fault estimation values, and locate precisely the serial number of the faulty engine of the power system made up of multiple engines. The method boosts the development of the online health management technology of the power system of a carrier rocket.

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“…Faults can cause unacceptable economic loss or hazards to human operators and can lead to catastrophic consequences on the system itself or its environment. Therefore, it is important to provide on-line operating information by using a monitoring system [7][8][9][10][11]. In the literature, many results on fault detection observer have been reported for linear systems [2,12] and nonlinear ones [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Multi‐objective H₋ ∕ H_∞ fault detection observer design for Takagi–Sugeno fuzzy systems with unmeasurable premise variables: descriptor approach

Aouaouda

Chadli

Cocquempot

et al. 2012

Adaptive Control & Signal

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This paper investigates the problem of robust fault detection observer design for nonlinear Takagi-Sugeno models with unmeasurable premise variables subject to sensor faults and unknown bounded disturbance. The main idea is to synthesize a robust fault detection observer by means of a mixed H =H 1 performance index. The considered observer is used to estimate jointly states and faults. Using the technique of descriptor system representation, we proposed a new less-conservative approach in term of a linear matrix inequality (LMI) by considering the sensor fault as an auxiliary state variable. A solution of the problem is obtained by using an iterative LMI procedure.In the field of diagnosis, this assumption forces to design observers with weighting functions depending on the input u.t /, for the detection of the sensors faults, and on the output y.t /, for the detection of actuator faults. Indeed, if the decision variables are the inputs, for example, in a bank of observer, even if the i th observer is not controlled by the input u i , this input appears indirectly in the weighting function and it cannot be eliminated. For this reason, it is interesting to consider the case of weighting functions depending on unmeasurable premise variables, such as the state of the system. This case makes it possible to handle a large class of physical systems [21][22][23].Using descriptor approach, this work dealt with the problem of fault detection observer for Takagi-Sugeno (T-S) model affected by both sensor faults and bounded disturbances. Although many papers have dealt with the problem of observer design for descriptor systems, only a few works have been carried out for simultaneous disturbance rejection and fault detection algorithms [1]. Compared with existing fault estimation schemes [24,25], the given descriptor observer approach leads to more suitable observer design, which is applicable to diagnosis of more general faults. The proposed procedure has the advantage, over the ones proposed on [26,27], to estimate different faults types, whereas the proposed method in [26] is only able to estimate step faults. The problem formulation in a descriptor form allows also to estimate state and sensor faults simultaneously.This paper aims to extend the results proposed in [4] to T-S models with unmeasurable premise variables. The present work illustrates the design of a fault detection observer for T-S model affected by sensor faults and unknown bounded disturbances. The observer gains and the residual weighting matrix are obtained through the minimization of an H 1 norm and the maximization of an H norm. The main objective is to design a fault detection observer such that the resulting residual has the best robustness to disturbances and the best sensitivity to faults. Sufficient conditions are expressed in terms of linear matrix inequalities (LMIs), and an iterative algorithm is provided to get the solution. This algorithm can be solved effectively using numerical optimization techniques.This paper is organized as follows. In ...

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Fault detection and isolation in dynamic systems using statistical local approach and hybrid least squares algorithm

Cited by 5 publications

References 7 publications

Hydrochemical Characterization, Geothermometry, and Origin of Ain Al-Harrah Hot Spring and Its Relationship to Al-Lith Geothermal System, Saudi Arabia

Hydrochemical Characterization, Geothermometry, and Origin of Ain Al-Harrah Hot Spring and Its Relationship to Al-Lith Geothermal System, Saudi Arabia

A method for fault diagnosis of power system of carrier rocket engine based on linear-quadratic receding time-domain algorithm

Multi‐objective H₋ ∕ H_∞ fault detection observer design for Takagi–Sugeno fuzzy systems with unmeasurable premise variables: descriptor approach

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Fault detection and isolation in dynamic systems using statistical local approach and hybrid least squares algorithm

Cited by 5 publications

References 7 publications

Hydrochemical Characterization, Geothermometry, and Origin of Ain Al-Harrah Hot Spring and Its Relationship to Al-Lith Geothermal System, Saudi Arabia

Hydrochemical Characterization, Geothermometry, and Origin of Ain Al-Harrah Hot Spring and Its Relationship to Al-Lith Geothermal System, Saudi Arabia

A method for fault diagnosis of power system of carrier rocket engine based on linear-quadratic receding time-domain algorithm

Multi‐objective H − ∕ H ∞ fault detection observer design for Takagi–Sugeno fuzzy systems with unmeasurable premise variables: descriptor approach

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Multi‐objective H₋ ∕ H_∞ fault detection observer design for Takagi–Sugeno fuzzy systems with unmeasurable premise variables: descriptor approach