Fault detection and isolation of DURUMI-II using similarity measure

Park, WookJe; Lee, Sang H.; Song, Jung-Il

doi:10.1007/s12206-009-0107-z

Cited by 7 publications

(10 citation statements)

References 10 publications

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“…A systematic approach to fault detection is described in [36] and some of the applications of these methods are, detection of mechanical defects, like stuck control surfaces. These were studied in [4] and [77] where active methods were used to isolate faults. Observer based fault diagnosis was investigated in e.g.…”

Section: Airspeed Sensor Problemmentioning

confidence: 99%

Diagnosis for Control and Decision Support for Autonomous Vehicles

Blanke

Hansen

Blas³

2016

Complex Systems

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Abstract. Diagnosis and, when possible, prognosis of faults are essential for safe and reliable operation. The area of fault diagnosis has emerged over three decades. The majority of studies are related to linear systems but real-life systems are complex and nonlinear. The development of methodologies coping with complex and nonlinear systems have matured and even though there are many unsolved problems, methodology and associated tools have become available in the form of theory and software for design. Genuine industrial cases have also become available. Analysis of system topology, referred to as structural analysis, has proven to be unique and simple in use and a recent extension to active structural techniques have made fault isolation possible in a wide range of systems. Following residual generation using these topology-based methods, deterministic and statistical change detection has proven very useful for online prognosis and diagnosis. For complex systems, results from nonGaussian detection theory have been employed with convincing results. The chapter presents the theoretical foundation for design methodologies that now appear as enabling technology for a new area of design of systems that are reliable in practise. Yet they are also affordable due to the use of fault-tolerant philosophies and tools that make engineering efforts minimal for their implementation. The chapter includes examples for an autonomous aircraft and a baling system for agriculture to illustrate the generic design procedures and real life results.

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Section: Airspeed Sensor Problemmentioning

confidence: 99%

Diagnosis for Control and Decision Support for Autonomous Vehicles

Blanke

Hansen

Blas³

2016

Complex Systems

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“…Fault-tolerance and adaptation of aircraft system with actual faults/healthy data have been studied. In order to process the adaptation of the pilot or the flight control system under abnormal condition, critical mission or return to a safe region should be followed with clear and right decision [ 1 ]. First of all, data for fault decision should be available; data acquisition system is required to take data accurately and quickly for the guarantee of precise fault decision.…”

Section: Introductionmentioning

confidence: 99%

“…In order to get fault detection result, discrimination measure has to be considered. Similarity measure [ 3 – 6 ] represents the degree of similarity between comparable data; it has also been done by numerous works [ 1 , 2 , 7 – 9 ]. Similarity measures between two vague datasets mean that it roughly depends on inverse value of distance.…”

Section: Introductionmentioning

confidence: 99%

“…In the previous research [ 1 , 10 , 11 ], fault detection and isolation (FDI) operation were accompanied by the fault-tolerant control system to control process failure. With the assumption of the controllability and the trimmability of the UAV at postfailure conditions, it means that the aircraft can keep on flying with the help of 6 flight control computer even the control surface stuck happen.…”

Section: Introductionmentioning

confidence: 99%

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Fault Detection of Aircraft System with Random Forest Algorithm and Similarity Measure

Lee

Park²,

Jung

2014

The Scientific World Journal

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Research on fault detection algorithm was developed with the similarity measure and random forest algorithm. The organized algorithm was applied to unmanned aircraft vehicle (UAV) that was readied by us. Similarity measure was designed by the help of distance information, and its usefulness was also verified by proof. Fault decision was carried out by calculation of weighted similarity measure. Twelve available coefficients among healthy and faulty status data group were used to determine the decision. Similarity measure weighting was done and obtained through random forest algorithm (RFA); RF provides data priority. In order to get a fast response of decision, a limited number of coefficients was also considered. Relation of detection rate and amount of feature data were analyzed and illustrated. By repeated trial of similarity calculation, useful data amount was obtained.

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“…A systematic approach to fault detection is described in Fravolini et al (2009) and some of the applications of these methods are, detection of mechanical defects, like stuck control surfaces. These were studied in Bateman et al (2009) and Park et al (2009) where active methods were used to isolate faults. Observer based fault diagnosis was investigated in e.g.…”

Section: Introductionmentioning

confidence: 99%

Diagnosis of UAV Pitot Tube Defects Using Statistical Change Detection

Hansen

Blanke

Adrian³

2010

IFAC Proceedings Volumes

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Unmanned Aerial Vehicles need a large degree of tolerance to faults. One of the most important steps towards this is the ability to detect and isolate faults in sensors and actuators in real time and make remedial actions to avoid that faults develop to failure. This paper analyses the possibilities of detecting faults in the pitot tube of a small unmanned aerial vehicle, a fault that easily causes a crash if not diagnosed and handled in time. Using as redundant information the velocity measured from an onboard GPS receiver, the air-speed estimated from engine throttle and the pitot tube based airspeed, the paper analyses the properties of residuals. A dedicated change detector is suggested that works on pre-whitened residuals and a generalised likelihood ratio test is derived for a Cauchy probability density, which the residuals are observed to have. A detection scheme is obtained using a threshold that provides desired quantities of false alarm and detection probabilities. Fault detectors are build based on raw residual data and on a whitened edition of these. The two detectors are compared against recorded telemetry data of an actual event where a pitot tube defect occurred. c 2010 IFAC

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Fault detection and isolation of DURUMI-II using similarity measure

Cited by 7 publications

References 10 publications

Diagnosis for Control and Decision Support for Autonomous Vehicles

Diagnosis for Control and Decision Support for Autonomous Vehicles

Fault Detection of Aircraft System with Random Forest Algorithm and Similarity Measure

Diagnosis of UAV Pitot Tube Defects Using Statistical Change Detection

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