Fault detection and isolation in wind turbines three sensor faults case

This paper deals with the design of a fault detection and isolation (FDI) system for an intelligent vehicle, a vehicle equipped with advanced driver assistance system (ADAS). The ADASs are outfitted with sensors for acquiring various information about the vehicle and its surroundings. Since these sensors are sensitive to faults, an efficient FDI system should be developed. The designed FDI system is comprised of three parts: a detection part, a decision part, and a fault management part. The detection part applies a generalized observer scheme (GOS). In the GOS, there is bank of extended Kalman filters (EKFs), each excited by all except one sensor measurement. The residual generated from the measurement update of each EKF is therefore sensitive to all sensor faults but one. This way, the fault sensitivity pattern of the residual makes it possible to detect a fault and locate the faulty sensor. The designed FDI system has been implemented and tested off-line with actual experiment data. Good results have been obtained with diagnosing individual sensor faults and outputting fault-free vehicle states.

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Nonlinear observer-based fault detection and isolation for wind turbines

22nd Mediterranean Conference on Control and Automation ◽

10.1109/med.2014.6961483 ◽

2014 ◽

Author(s):

Abdulhamed Hwas ◽

Reza Katebi

Keyword(s):

Fault Detection ◽

Wind Turbines ◽

Fault Detection And Isolation ◽

Nonlinear Observer

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Integrated FDI/FTC approach for wind turbines using a LPV interval predictor subspace approach and virtual sensors/actuators

Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy ◽

10.1177/09576509211002080 ◽

2021 ◽

pp. 095765092110020

Author(s):

Houda Chouiref ◽

Boumedyen Boussaid ◽

Mohamed Naceur Abdelkrim ◽

Vicenç Puig ◽

Christophe Aubrun

Keyword(s):

Fault Detection ◽

Wind Turbine ◽

Wind Turbines ◽

Active Fault ◽

Fault Tolerant ◽

Fault Tolerant Control ◽

Fault Detection And Isolation ◽

Linear Parameter ◽

Linear Parameter Varying ◽

Active Fault Tolerant Control

In order to keep wind turbines connected and in operation at all times despite the occurrence of some faults, advanced fault detection and accommodation schemes are required. To achieve this goal, this paper proposes to use the Linear Parameter Varying approach to design an Active Fault Tolerant Control for wind turbines. This Active Fault Tolerant Control is integrated with a Fault Detection and Isolation approach. Fault detection is based on a Linear Parameter Varying interval predictor approach while fault isolation is based on analysing the residual fault signatures. To include fault-tolerance in the control system (already available in the considered wind turbine case study based on the well known SAFEPROCESS benchmark), the information of the Fault Detection and Isolation approach block is exploited and it is used in the implementation of a virtual actuator and sensor scheme. The proposed Active Fault Tolerant Control is evaluated using fault scenarios which are proposed in the wind turbine benchmark to assess its performance. Results show the effectiveness of the proposed Active Fault Tolerant Control approach in faulty situation.

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Fuzzy robust fault estimation scheme for fault tolerant flight control systems based on unknown input observer

Aircraft Engineering and Aerospace Technology ◽

10.1108/aeat-12-2020-0302 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Gulay Unal

Keyword(s):

Fuzzy Logic ◽

Control System ◽

Fault Detection ◽

Flight Control ◽

Fault Tolerant ◽

Fault Isolation ◽

Fault Detection And Isolation ◽

Sensor Faults ◽

Flight Control System ◽

Content Type

Purpose The purpose of this study is to present a new integrated structure for a fault tolerant aircraft control system because fault diagnosis of flight control systems is extremely important in obtaining healthy flight. An approach to detect and isolate aircraft sensor faults is proposed, and a new integrated structure for a fault tolerant aircraft control system is presented. Design/methodology/approach As disturbance and sensor faults are mixed together in a flight control system, it is difficult to isolate any fault from the disturbance. This paper proposes a robust unknown input observer for state estimation and fault detection as well as isolation using fuzzy logic. Findings The dedicated observer scheme (DOS) and generalized observer scheme (GOS) are used for fault detection and isolation in an observer-based approach. Using the DOS, it has been shown through simulation that sensor fault detection and isolation can be made, but here the threshold value must be well chosen; if not, the faulty sensor cannot be correctly isolated. On the other hand, the GOS is more usable and flexible than the DOS and allows isolation of faults more correctly and for a fuzzy logic-based controller to be used to realize fault isolation completely. Originality/value The fuzzy logic approach applied to the flight control system adds an important key for sensor fault isolation because it reduces the effect of false alarms and allows the identification of different kinds of sensor faults. The proposed approach can be used for similar systems.

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