Reliability Analysis with Proportional Hazard Model in Aeronautics

Diamoutene, Abdoulaye; Noureddine, Farid; Kamsu-Foguem, Bernard; Barro, Diakarya

doi:10.1007/s42405-021-00371-1

Cited by 6 publications

(4 citation statements)

References 46 publications

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“…A different way to approach this would be from the point of view of survival analysis and reliability engineering (Read and Vogel, 2016;Diamoutene et al, 2021;Nikulin et al, 2011). Previous research relies on the concept of hazard function (also referred to as "time-to-failure") which is defined as the instantaneous risk of an event occurring at a point in time.…”

Section: Related Workmentioning

confidence: 99%

What makes you change your mind? An empirical investigation in online group decision-making conversations

Karadzhov¹,

Stafford²,

Vlachos³

2022

Preprint

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People leverage group discussions to collaborate in order to solve complex tasks, e.g. in project meetings or hiring panels. By doing so, they engage in a variety of conversational strategies where they try to convince each other of the best approach and ultimately reach a decision. In this work, we investigate methods for detecting what makes someone change their mind. To this end, we leverage a recently introduced dataset containing group discussions of people collaborating to solve a task. To find out what makes someone change their mind, we incorporate various techniques such as neural text classification and languageagnostic change point detection. Evaluation of these methods shows that while the task is not trivial, the best way to approach it is using a language-aware model with learning-to-rank training. Finally, we examine the cues that the models develop as indicative of the cause of a change of mind.

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Section: Related Workmentioning

confidence: 99%

What makes you change your mind? An empirical investigation in online group decision-making conversations

Karadzhov¹,

Stafford²,

Vlachos³

2022

Preprint

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“…The impact of the materials used in the construction of an aircraft and the implemented technologies that affect its reliability and correct operation has been highlighted. The dominant approaches to aircraft reliability modelling can be divided into two main trends related to the analytical methods [8,9] as well as probabilistic approaches [10,11]. The method by which reliability is determined often depends on whether the failure of a component or of a complex structure is being studied.…”

Section: Reliability Of Aircraftmentioning

confidence: 99%

Analysis of Aircraft Operation System Regarding Readiness—Case Study

Żyluk¹,

Cur²,

Czerwiński³

2021

Aerospace

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The aim of the study was to develop a model of the readiness and reliability of an aircraft to perform an air task. The applied research method uses quantitative statistical methods and Markov processes in order to create a mathematical algorithm to exploit a selected aircraft type. The paper presents a case study of the TS-11 “Iskra” aircraft. The results show that even if the probability of being on stand-by is low, the tasks can be completed by operating the entire fleet properly.

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“…For example, Asgharzadeh et al [4] studied the stress-strength reliability of the two-parameter generalized exponential records via the Bayes and maximum likelihood methods. Diamoutene et al [11] used reliability analysis and proportional hazard rate models (PHM) in aeronautics?. Demiray and K?z?laslan [10] studied classical and Bayesian approaches to estimate the stress¨Cstrength reliability in consecutive k-out of-n systems when the two variables are belonging to PHM.…”

Section: Introductionmentioning

confidence: 99%

E-Bayesian Estimations and Its E-MSE For Compound Rayleigh Progressive Type-II Censored Data

Shojaee

Piriaei

Babanezhad

2022

Stat., optim. inf. comput.

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Over the past decades, various methods to estimate the unknown parameter, the survival function, and the hazard rate of a statistical distribution have been proposed from the availability of type-II censored data. They are all differing in terms of how the progressive type-II censored data of the underlying distribution are available. In this study, we estimate the parameter, the survival function, and the hazard rate of the compound Rayleigh distribution by using the E-Bayesian estimation when the progressive type-II censored data are available. The resulting estimators are evaluated based on the asymmetric general entropy and the symmetric squared error loss functions. In addition, the E-Bayesian estimators under the different loss functions have been compared through a real data analysis and Monte Carlo simulation studies by calculating the E-MSE of the resulting estimators.

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Reliability Analysis with Proportional Hazard Model in Aeronautics

Cited by 6 publications

References 46 publications

What makes you change your mind? An empirical investigation in online group decision-making conversations

What makes you change your mind? An empirical investigation in online group decision-making conversations

Analysis of Aircraft Operation System Regarding Readiness—Case Study

E-Bayesian Estimations and Its E-MSE For Compound Rayleigh Progressive Type-II Censored Data

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