AESMF based sensor fault diagnosis for RUAVs

Wu, Chong; Qi, Juntong; Han, Jianda

doi:10.1109/ccdc.2012.6244539

Cited by 5 publications

(6 citation statements)

References 12 publications

(21 reference statements)

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“…In a different way, Wu et al [46] proposed an Adaptive Extended Set-Member Filter (AESMF) method for sensor fault diagnosis. Set-member filter is an approach to process unknown but bounded noise data, and the final result is a set which includes the true value.…”

Section: Fault Diagnosis Approachesmentioning

confidence: 99%

Fault diagnosis and fault tolerant control methods for manned and unmanned helicopters: A literature review

Theilliol

et al. 2013

2013 Conference on Control and Fault-Tolerant Systems (SysTol)

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With the development of unmanned helicopters, the dependability of helicopters have attracted more and more attention of many researchers. In order to deal with these problems, fault diagnosis and fault tolerant control methods were used for manned or unmanned helicopter platforms. This paper presents an overview of the existing works on fault diagnosis, including analytical/model-based, signal processingbased and knowledge-based techniques, and passive/active fault tolerant control approaches for helicopters mainly with single rotor. Before the main part of the review, a short description of fault classification is presented. Compared with the former work, this review contains some in-depth discussion of various fault diagnosis techniques and a survey for fault tolerant control methods.

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Section: Fault Diagnosis Approachesmentioning

confidence: 99%

Fault diagnosis and fault tolerant control methods for manned and unmanned helicopters: A literature review

Theilliol

et al. 2013

2013 Conference on Control and Fault-Tolerant Systems (SysTol)

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“…Other approaches such as the Unknown Input Observer (UIO) designed by Liu et al [8] aiming at tracking actuator fault parameters and decoupling the effect of faults and unknown inputs are valuable contributions. Moreover, Qi et al [9,10] propose states and parameters combined estimation based on square-root Unscented Kalman Filter (UKF) and Kalman Filter-(KF-) based adaptive UKF with a full nonlinear model of an unmanned helicopter (UH). The KF-based adaptive UKF is composed of two parallel master-slave filters.…”

Section: Introductionmentioning

confidence: 99%

Systematic Process for Building a Fault Diagnoser Based on Petri Nets Applied to a Helicopter

Trigos

Barrientos

Cerro

2015

Mathematical Problems in Engineering

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This work presents a systematic process for building a Fault Diagnoser (FD), based on Petri Nets (PNs) which has been applied to a small helicopter. This novel tool is able to detect both intermittent and permanent faults. The work carried out is discussed from theoretical and practical point of view. The procedure begins with a division of the whole system into subsystems, which are the devices that have to be modeled by using PN, considering both the normal and fault operations. Subsequently, the models are integrated into a global Petri Net diagnoser (PND) that is able to monitor a whole helicopter and show critical variables to the operator in order to determine the UAV health, preventing accidents in this manner. A Data Acquisition System (DAQ) has been designed for collecting data during the flights and feeding PN diagnoser with them. Several real flights (nominal or under failure) have been carried out to perform the diagnoser setup and verify its performance. A summary of the validation results obtained during real flight tests is also included. An extensive use of this tool will improve preventive maintenance protocols for UAVs (especially helicopters) and allow establishing recommendations in regulations.

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“…In a different way, Wu et al [91] proposed an Adaptive Extended Set-Member Filter (AESMF) method for sensor faults diagnosis. Set-Member Filter (SMF) is an approach to process unknown but bounded noise data, and the final result is a set which includes the true value.…”

Section: Sensor Faultsmentioning

confidence: 99%

A Review on Fault Diagnosis and Fault Tolerant Control Methods for Single-rotor Aerial Vehicles

Theilliol

et al. 2013

J Intell Robot Syst

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Faults or failures are inevitable to occur and their prompt detection and isolation are essential for the dependability of various systems and for avoiding damages to the system itself, persons and the environment. Therefore, the safety of helicopter platforms have attracted the attention of many researchers in the past two decades. In order to deal with these problems, this paper presents an overview of the recent development and current researches in the field of fault diagnosis, including analytical/model-based, signal processingbased and knowledge-based techniques, and also passive/active fault-tolerant control approaches.

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AESMF based sensor fault diagnosis for RUAVs

Cited by 5 publications

References 12 publications

Fault diagnosis and fault tolerant control methods for manned and unmanned helicopters: A literature review

Fault diagnosis and fault tolerant control methods for manned and unmanned helicopters: A literature review

Systematic Process for Building a Fault Diagnoser Based on Petri Nets Applied to a Helicopter

A Review on Fault Diagnosis and Fault Tolerant Control Methods for Single-rotor Aerial Vehicles

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