Modeling and fault diagnosis of flat inland navigation canals

This article regards the development of an analytical redundancy-based approach for detecting and isolating both sensor and actuator faults in flat inland navigation canals. Inland navigation networks are principally used for transport and are composed of many canalized natural rivers and artificial canals characterized by no slope. These canals are strongly affected by resonance phenomena, which can create waves such that the navigation condition might not be guaranteed. It is, therefore, required to ensure dealing with fault-free measured data and actuators. The proposed approach is based on the integrator delay zero model of the flat inland navigation canal. The proposed method is tested by considering the Cuinchy–Fontinettes navigation reach (in the north of France) to detect and isolate the occurrence of faults in the Cuinchy and Fontinettes level sensors and in the Cuinchy gate.

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Gray-Box Model of Inland Navigation Channel: Application to the Cuinchy–Fontinettes Reach

Journal of Intelligent Systems ◽

10.1515/jisys-2013-0071 ◽

2014 ◽

Vol 23 (2) ◽

pp. 183-199 ◽

Cited By ~ 9

Author(s):

Klaudia Horváth ◽

Eric Duviella ◽

Joaquim Blesa ◽

Lala Rajaoarisoa ◽

Yolanda Bolea ◽

...

Keyword(s):

Global Change ◽

Time Delays ◽

Large Scale ◽

Measured Data ◽

Environmental Benefits ◽

Box Model ◽

Inland Navigation ◽

The North ◽

Navigation Channel ◽

Potential Impact

AbstractIn a context of global change, inland navigation transport has gained interest with economic and environmental benefits. The development of this means of conveyance requires the improvement of its management rules to deal with the increase of navigation (schedules and frequency) and the potential impact of global change. To achieve this aim, it is first necessary to have a better knowledge about the dynamics of inland navigation networks and their interaction with the environment. Second, the potential effects of global change have to be anticipated. This article focuses on the modeling of inland navigation reaches. An inland navigation network is a large-scale distributed system composed of several interconnected reaches. These reaches are characterized by non-linearities, time delays, and generally no significant slope. To deal with these particularities, a gray-box model is proposed. It consists in determining the delays according to the physical characteristics of the system. The parameters of the model are identified with measured data. The gray-box model is used to reproduce the dynamics of the Cuinchy–Fontinettes reach located in the north of France.

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Reliability of Measured Data for pH Sensor Arrays with Fault Diagnosis and Data Fusion Based on LabVIEW

Sensors ◽

10.3390/s131217281 ◽

2013 ◽

Vol 13 (12) ◽

pp. 17281-17291 ◽

Cited By ~ 1

Author(s):

Yi-Hung Liao ◽

Jung-Chuan Chou ◽

Chin-Yi Lin

Keyword(s):

Fault Diagnosis ◽

Data Fusion ◽

Ph Sensor ◽

Sensor Arrays ◽

Measured Data

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Fault Diagnosis for Electromechanical System via Extended Analytical Redundancy Relations

IEEE Transactions on Industrial Informatics ◽

10.1109/tii.2018.2842255 ◽

2018 ◽

Vol 14 (12) ◽

pp. 5233-5244 ◽

Cited By ~ 4

Author(s):

Ming Yu ◽

Chenyu Xiao ◽

Wuhua Jiang ◽

Shuanglong Yang ◽

Hai Wang

Keyword(s):

Fault Diagnosis ◽

Electromechanical System ◽

Analytical Redundancy

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Robust actuator and sensor fault reconstruction of wind turbine using modified sliding mode observer

Transactions of the Institute of Measurement and Control ◽

10.1177/0142331218754620 ◽

2018 ◽

Vol 41 (6) ◽

pp. 1504-1518 ◽

Cited By ~ 10

Author(s):

Mostafa Rahnavard ◽

Moosa Ayati ◽

Mohammad Reza Hairi Yazdi

Keyword(s):

Fault Diagnosis ◽

Wind Turbine ◽

Rotational Speed ◽

Sliding Mode ◽

Sliding Mode Observer ◽

Sensor Faults ◽

Actuator Faults ◽

Fault Reconstruction ◽

Different Order ◽

Aerodynamic Torque

This paper proposes a robust fault diagnosis scheme based on modified sliding mode observer, which reconstructs wind turbine hydraulic pitch actuator faults as well as simultaneous sensor faults. The wind turbine under consideration is a 4.8 MW benchmark model developed by Aalborg University and kk-electronic a/s. Rotor rotational speed, generator rotational speed, blade pitch angle and generator torque have different order of magnitudes. Since the dedicated sensors experience faults with quite different values, simultaneous fault reconstruction of these sensors is a challenging task. To address this challenge, some modifications are applied to the classic sliding mode observer to realize simultaneous fault estimation. The modifications are mainly suggested to the discontinuous injection switching term as the nonlinear part of observer. The proposed fault diagnosis scheme does not require know the exact value of nonlinear aerodynamic torque and is robust to disturbance/modelling uncertainties. The aerodynamic torque mapping, represented as a two-dimensional look up table in the benchmark model, is estimated by an analytical expression. The pitch actuator low pressure faults are identified using some fault indicators. By filtering the outputs and defining an augmented state vector, the sensor faults are converted to actuator faults. Several fault scenarios, including the pitch actuator low pressure faults and simultaneous sensor faults, are simulated in the wind turbine benchmark in the presence of measurement noises. Simulation results show that the modified observer immediately and faithfully estimates the actuator faults as well as simultaneous sensor faults with different order of magnitudes.

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Adaptive Observer-Based Integrated Fault Diagnosis and Fault-Tolerant Control Systems Against Actuator Faults and Saturation

Journal of Dynamic Systems Measurement and Control ◽

10.1115/1.4023763 ◽

2013 ◽

Vol 135 (4) ◽

Cited By ~ 11

Author(s):

Jinhua Fan ◽

Youmin Zhang ◽

Zhiqiang Zheng

Keyword(s):

Fault Diagnosis ◽

Control Systems ◽

Fault Tolerant ◽

Fault Tolerant Control ◽

Feedback Controller ◽

Adaptive Observer ◽

Pole Placement ◽

Design Parameters ◽

Feedback Gain ◽

Actuator Faults

A challenging problem on observer-based, integrated fault diagnosis and fault-tolerant control for linear systems subject to actuator faults and control input constraints is studied in this paper. An adaptive observer approach is used for the joint state-fault magnitude estimation, and a feedback controller is designed to stabilize the closed-loop system without violating the actuator limits in the presence of actuator faults. Matrix inequality conditions are provided for computation of design parameters of the observer and the feedback controller, and the admissible initial conditions and estimation errors are bounded by invariant ellipsoidal sets. The design results are closely related to the fault magnitude and variation rate, and a necessary condition on the admissible fault magnitudes dependent on the control limits is directly obtained from the design process. The proposed design framework allows a direct application of the pole placement method to obtain stabilization results. To improve the system performance, a nonlinear programming-based optimization algorithm is proposed to compute an optimized feedback gain, whereas the one obtained by pole placement can be taken as an initial feasible solution for nonlinear optimization. Numerical studies with two flight control systems demonstrate the effectiveness of proposed design techniques.

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Performance Assessment and Prediction of a PV Array Installed Vertically on Building Walls

Solar Energy ◽

10.1115/isec2003-44225 ◽

2003 ◽

Author(s):

Kazuya Yoshioka ◽

Tadashi Saitoh ◽

Satoru Yatabe

Keyword(s):

Electrical Energy ◽

Measured Data ◽

Pv System ◽

Performance Simulation ◽

Pv Array ◽

The North ◽

Dc Power ◽

Building Walls ◽

Array Performance ◽

Test Project

This paper predicts relationship between array performance and surrounding ambient including installation conditions for PV array installed on building walls. A PV system assumed for calculation is a PV array installed on the north, south, east and west walls of a building which was constructed as a NEDO field-test project. In the case of performance simulation for the actual PV system, calculated performance generally agrees with real measured data. Based on them, produced electrical energy is simulated as a function of ground albedo, array tilt angle and space between the PV array and the wall for installation. In addition, shading effect on produced electrical energy is also estimated by assuming some neighboring buildings. Effect of sub-array installation on different walls on DC power output is also estimated.

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Active Fault-Tolerant Control of a Quadcopter against Time-Varying Actuator Faults and Saturations Using Sliding Mode Backstepping Approach

Applied Sciences ◽

10.3390/app9194010 ◽

2019 ◽

Vol 9 (19) ◽

pp. 4010 ◽

Cited By ~ 2

Author(s):

Ngoc Phi Nguyen ◽

Sung Kyung Hong

Keyword(s):

Fault Diagnosis ◽

Active Fault ◽

Fault Tolerant ◽

Sliding Mode ◽

Fault Tolerant Control ◽

Lyapunov Theory ◽

Fault Estimation ◽

Time Varying ◽

Actuator Faults ◽

Active Fault Tolerant Control

Fault-tolerant control is becoming an interesting topic because of its reliability and safety. This paper reports an active fault-tolerant control method for a quadcopter unmanned aerial vehicle (UAV) to handle actuator faults, disturbances, and input constraints. A robust fault diagnosis based on the H ∞ scheme was designed to estimate the magnitude of a time-varying fault in the presence of disturbances with unknown upper bounds. Once the fault estimation was complete, a fault-tolerant control scheme was proposed for the attitude system, using adaptive sliding mode backstepping control to accommodate the actuator faults, despite actuator saturation limitation and disturbances. The Lyapunov theory was applied to prove the robustness and stability of the closed-loop system under faulty operation. Simulation results show the effectiveness of the fault diagnosis scheme and proposed controller for handling actuator faults.

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