An Examination of Aviation Accidents and Incidents Related to Integrated Vehicle Health Management

Reveley, Mary S.; Briggs, Jeffrey L.; Thomas, Megan A.; Evans, Joni K.; Jones, Sharon M.

doi:10.2514/6.2009-7124

Cited by 8 publications

(11 citation statements)

References 1 publication

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“…Loss of control events are rarely considered incidents, due to the level of aircraft damage and injury that is likely to occur." 1 Loss of control accidents attract attention not only as a result of their status as the most common type of accident, but also because of the disturbing number of fatalities they produce. The crash of a Colgan Air regional transport in 2009 resulted in widespread media attention and in proposed legislation in both houses of the United States Congress.…”

Section: Introductionmentioning

confidence: 99%

Aircraft Loss of Control Causal Factors and Mitigation Challenges

Jacobson

2010

AIAA Guidance, Navigation, and Control Conference

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Loss of control is the leading cause of jet fatalities worldwide. Aside from their frequency of occurrence, accidents resulting from loss of aircraft control seize the public's attention by yielding a large number of fatalities in a single event. In response to the rising threat to aviation safety, the NASA Aviation Safety Program has conducted a study of the loss of control problem. This study gathered four types of information pertaining to loss of control accidents: (1) statistical data; (2) individual accident reports that cite loss of control as a contributing factor; (3) previous meta-analyses of loss of control accidents; and (4) inputs solicited from aircraft manufacturers, air carriers, researchers, and other industry stakeholders. Using these information resources, the study team identified the causal factors that were cited in the greatest number of loss of control accidents, and which were emphasized most by industry stakeholders. This report describes the study approach, the key causal factors for aircraft loss of control, and recommended mitigation strategies to make near-term impacts, mid-term impacts, and Next Generation Air Transportation System impacts on the loss of control accident statistics.

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Section: Introductionmentioning

confidence: 99%

Aircraft Loss of Control Causal Factors and Mitigation Challenges

Jacobson

2010

AIAA Guidance, Navigation, and Control Conference

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“…As M continues to increase, the mechanism quickly jumps to position 3 , where the lock enters the locked state. It is thus clear that the locking impact moment corresponding to position 2 is precisely the critical impact force in the experimental test. The value is M Impact = 1311 N • mm, with a 2.7% error compared with the test result, showing a high goodness of fit.…”

Section: Bifurcation Analysis Resultsmentioning

confidence: 81%

“…Landing gear retraction systems are safety devices that guarantee the retraction action and locking capability in the retracted state of landing gear after aircraft take off as well as the extension action and locking capability in the deployed state prior to landing [1]. According to a Federal Aviation Administration (FAA) investigation report [2] and Boeing's Statistical Summary of Commercial Jet Airplane Accidents [3], a considerable portion of landing gear failures are caused by failures of the retraction mechanism, in which lock mechanism failures are prevalent. The main failure modes include the locking failure, unlocking failure, and automatic unlocking of landing gear.…”

Section: Introductionmentioning

confidence: 99%

Research on the Performance of an Aircraft Landing Gear Hook Lock Based on Bifurcation Analysis

Yin

Nie

et al. 2019

Applied Sciences

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To design and analyze a hook lock mechanism for a certain type of aircraft landing gear, numerical continuation and bifurcation theory are employed to study the performance of the lock mechanism in this paper. First, dynamic and static models of the hook lock mechanism are created separately, and by analyzing the locking and unlocking processes of the lock mechanism, the dynamic results are compared with the static numerical continuation results. According to the results, the static numerical continuation results agree excellently with the dynamic model results at the position of the stable equilibrium solution. Although the dynamic results can hardly explain the jump phenomenon of the lock mechanism at the moment of locking or unlocking, the bifurcation point of the static results suggests the occurrence of a stability change in the lock mechanism at the moment of jumping, thereby explaining the jumping mechanism of the lock mechanism. Therefore, the influences of the landing gear overload, lock spring parameters and attachment position on the performance of the lock mechanism are investigated. Furthermore, the critical installation position of the limit stop is defined, and the critical unlocking force of the lock mechanism is designed optimally based on the multi-island genetic algorithm.

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“…The development of reliable models for estimating, detecting, mitigating, and/or preventing adverse events is crucial in the aviation industry [4], healthcare institutions [5,6], drug administration [7,8], and active war theaters [9], to name a few. In the latter, adverse events are caused by terrorist activities that primarily target the civilian population in countries such as Afghanistan.…”

Section: Introductionmentioning

confidence: 99%

A Cellular Automata Model of the Relationship between Adverse Events and Regional Infrastructure Development in an Active War Theater

et al. 2019

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This study presents a cellular automata (CA) model to assist decision-makers in understanding the effects of infrastructure development projects on adverse events in an active war theater. The adverse events are caused by terrorist activities that primarily target the civilian population in countries such as Afghanistan. In the CA-based model, cells in the same neighborhood synchronously interact with one another to determine their next states, and small changes in iteration yield to complex formations of adverse event risks. The results demonstrate that the proposed model can help in the evaluation of infrastructure development projects in relation to changes in the reported adverse events, as well as in the identification of the geographical locations, times, and impacts of such developments. The results also show that infrastructure development projects have different impacts on the reported adverse events. The CA modeling approach can be used to support decision-makers in allocating infrastructure development funds to stabilize active war regions with higher adverse event risks. Such models can also improve the understanding of the complex interactions between infrastructure development projects and adverse events.

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An Examination of Aviation Accidents and Incidents Related to Integrated Vehicle Health Management

Cited by 8 publications

References 1 publication

Aircraft Loss of Control Causal Factors and Mitigation Challenges

Aircraft Loss of Control Causal Factors and Mitigation Challenges

Research on the Performance of an Aircraft Landing Gear Hook Lock Based on Bifurcation Analysis

A Cellular Automata Model of the Relationship between Adverse Events and Regional Infrastructure Development in an Active War Theater

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