Probabilistic Risk Assessment: Impact of Human Factors on Nondestructive Evaluation and Sensor Degradation on Structural Health Monitoring

Aldrin, John C.; Medina, Enrique A.; Allwine, Daniel A.; QadeerAhmed, Mohammed; Fisher, Joseph; Knopp, Jeremy S.; Lindgren, Eric A.

doi:10.1063/1.2718138

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…The cited biorhythm study focuses on the relationship of the accident dates and the three biorhythm cycles. John C. Aldrin; Entique A. Medina; Daniel A. Allwine; Mohammed Qadeer Ahmed; Joseph Fisher; Jeremy S. Knopp;and Eric A. Lindgren (2006) have described human factors in a nondestructive evaluation which is critical to maintain inspection reliability. Reliability of structural health monitoring systems is particularly sensitive to sensor degradation over time.…”

Section: Introductionmentioning

confidence: 98%

Biorhythmic Analysis to Prevent Aviation Accidents

Saket

Kaushik²,

Singh

2011

Innovations in Defence Support Systems -2

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Abstract. The Word "Biorhythm" is derived from the Greek word "Bios" which means life and "Rhythm" which means flowing with a regular movement. Biorhythm theory uses mostly scientific methods to chart the rhythms or cycles that affect the internal functioning of the body and of human behavior. This is particularly applicable to the physical, emotional and intellectual or mental abilities. Biorhythm theory states that, at the moment of birth three statistical cycles are initiated and these will recur consistently throughout life. This chapter proposes an investigation of the reasons for human error as a contributing factor in flying accidents. Physical factors such as man machine interactions involved in flying mistakes and a taxonomic approach to errors has been proposed in this chapter, in order to avoid accidents. This chapter presents a new methodology based on a probabilistic approach for biorhythmic analysis in an attempt to prevent aviation accidents. The methodology has been developed using a Gaussian distribution technique for evaluation of the aviation system reliability considering the biorhythmic effects on the pilot. Normal distributed data from the US air force were tested and analyzed. These were based on the performance ability of pilots and the peak demand of the performance using a Gaussian distribution approach. Validation of an aircraft accident due to biorhythm is explained in this chapter with consideration of the peak performance demand and differing standard deviations in the performance ability of each pilot. A new curve named the Incident -Duration Curve has been introduced. This is based on a biorhythmic analysis of Indian and US air force data. The area under normal distribution curve of the US air force data represents the successful performance ability zone * Corresponding author. 208 R.K. Saket, S.P. Kaushik, and G. Singh of the Pilot. The accident zone is the area of operation during which the Performance Demand exceeds the Performance Ability of the particular aircraft pilot. Operation within the zone of the normal distribution curve is successful owing to ability and fitness of the particular pilot. Failure probabilities considering Peak Performance Demand and pilot's ability have been evaluated using a Gaussian distribution approach. A Safety Factor Concept is also given in this chapter. This has been done so as to include biorhythmic analysis in the attempt to avoid aviation accidents. A Stepped Incident-Duration Curve has been utilized in order to evaluate the particular pilot's reliability when using the system. The complete aviation system was evaluated by using Simpson's 1/3 rd rule.

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Section: Introductionmentioning

confidence: 98%

Biorhythmic Analysis to Prevent Aviation Accidents

Saket

Kaushik²,

Singh

2011

Innovations in Defence Support Systems -2

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“…17 Last but not least, human error during aircraft inspection can be reduced. 21,22 Although SHM has been researched for some time and the basic promises are known, only few routine applications have evolved. 23 The literature on operational potentials provides a complex view with regard to the cost-benefit ratio of employing HMS, especially in aviation 13,19,24,25 :…”

Section: Introductionmentioning

confidence: 99%

Modeling of an aircraft structural health monitoring sensor network for operational impact assessment

Büchter

Saez

Steinweg

2021

Structural Health Monitoring

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Structural health monitoring (SHM) of aircraft components can improve maintenance operations, potentially reducing costs for inspections, unscheduled maintenance events, and unexpected delays. On the other hand, aircraft safety and net present value can be adversely influenced by false alarms, missed detections, system costs, and weight and power requirements of the SHM system. In order to gain a better understanding into the latter, we present a weight and power model for a sensor network, comprising sensors, interrogators, data collectors, and wiring. We assess the net benefit of using SHM in terms of reduced expenditure as function of network coverage, considering a corresponding potential in reducing the inspection effort.

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Probabilistic approach for biorhythmic analysis to prevent aviation accidents

Saket

Kaushik²,

Singh

2008

IJIDSS

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This paper presents a new methodology, based on the probabilistic approach, for biorhythmic analysis to prevent aviation accidents. The methodology has been developed using the Gaussian distribution technique for reliability evaluation of the aviation system, keeping in mind the biorhythmic effects of the pilot. The normal distributed data of the US Air Force were tested and analysed based on the performance ability of pilot and the peak demand of the performance. The accident zone is that area of operation during which the performance demand exceeds the performance ability of the aircraft pilot. Failure probabilities, considering peak performance demand and the pilot's ability, have been evaluated using the Gaussian distribution approach. The safety factor concept has also been presented in this paper for biorhythmic analysis to prevent aviation accidents. The stepped incident-duration curve has been utilised to evaluate the pilot's reliability on the aviation system using Simpson's 1/3rd rule.

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Probabilistic Risk Assessment: Impact of Human Factors on Nondestructive Evaluation and Sensor Degradation on Structural Health Monitoring

Cited by 3 publications

References 6 publications

Biorhythmic Analysis to Prevent Aviation Accidents

Biorhythmic Analysis to Prevent Aviation Accidents

Modeling of an aircraft structural health monitoring sensor network for operational impact assessment

Probabilistic approach for biorhythmic analysis to prevent aviation accidents

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