A reliability analysis for electronic devices under an extension of exponentiated perks distribution

Méndez‐González, Luis Carlos; Rodríguez‐Picón, Luis Alberto; Pérez-Olguín, Iván Juan Carlos; García, Vicente; Quezada-Carreón, Abel Eduardo

doi:10.1002/qre.3255

Cited by 9 publications

(8 citation statements)

References 43 publications

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Section: Case Studysupporting

confidence: 79%

“…As shown in Figure 9, the failure probability of the FCS increases rapidly at the beginning of usage and then stabilizes, which is consistent with the bathtub curve theory of component reliability. 51 This theory suggests that the failure rate of components typically with a higher initial failure rate during the infant mortality period and a lower rate during the wear-out period. In the case of aircraft-related components, the failure probability is particularly high during the initial running-in period, due to factors such as manufacturing defects and environmental stresses.…”

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confidence: 99%

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A reliability analysis technique for complex systems with retaining fuzzy information

Zeng

Sun

2023

Quality & Reliability Eng

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This paper proposed a method for the reliability analysis of systems characterized by fuzzy failure probabilities and intricate failure behaviors, while retaining the fuzzy information throughout the analysis process. Specifically, we introduced a combinational modeling method that integrates generalized stochastic Petri nets (GSPN) and dynamic fault trees (DFT) to capture the dynamic failure behaviors and address the limitations of DFT modeling. This combinational approach is capable of capturing more sophisticated failure behaviors, such as competing failures and global failure propagation patterns. Furthermore, we propose an Monte Carlo technique based on endpoint sampling to enable quantitative analysis of GSPN‐based composite models, which preserves the fuzzy fault information of the system. Finally, we demonstrate the effectiveness of the proposed method through an example of a flight control system.

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Section: Case Studysupporting

confidence: 79%

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confidence: 99%

A reliability analysis technique for complex systems with retaining fuzzy information

Zeng

Sun

2023

Quality & Reliability Eng

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“…The second illustration data set is taken from Mendez-Gonzalez et al 28 . These data, which are shown in Table 13, represent the FTs of 30 DAS cards.…”

Section: Failure Times Of 30 Data Acquisition Systems (Das)mentioning

confidence: 99%

A two‐parameter parsimonious bathtub model for the analysis of system failure times with illustrations to reliability data

Bakouch,

Abba,

Jónás

et al. 2023

Quality & Reliability Eng

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In this study, a two‐parameter, upper‐bounded probability distribution called the tau distribution is introduced and its applications in reliability engineering are presented. Each of the parameters of the tau distribution has a clear semantic meaning. Namely, one of them determines the upper bound of the distribution, while the value of the other parameter influences the shape of the cumulative distribution function. A remarkable property of this new probability distribution is that its probability density function, survival function, hazard rate function (HRF), and quantile function can all be expressed in terms of its cumulative distribution function. The HRF of the proposed probability distribution can exhibit an increasing trend and various bathtub shapes with or without a low and long‐flat phase (useful time phase), which makes this new distribution suitable for modeling a wide range of real‐world problems. The constraint maximum likelihood estimation, percentile estimation, approximate Bayesian computation, and approximate quantile estimation computation are proposed to calculate the unknown parameters of the model. The suitability of the estimation methods is verified with the aid of simulation and real‐world data results. The modeling capability of the tau distribution was compared with that of some well‐known two‐ and three‐parameter probability distributions using two data sets known from the literature of reliability engineering: time between failures data of a machining center, and time to failure of data acquisition system cards. Based on empirical results, the new distribution may be viewed as a viable competitor to the Weibull, Gamma, Chen, and modified Weibull distributions.

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“…Buffinton et al [18] used the Kirton Adaption-Innovation Inventory (KAI) to determine cognitive styles. They concluded that cognitive style theory may be applied to characterize and better understand the personal While engineering design has been explored from various different perspectives, including optimization [2][3][4], reliability [5][6][7][8], manufacturability [9] and decision making [10], among others, there are limited studies of the human dynamics that are inherent to engineering organizations. To gain a better understanding of engineering project management, we clearly need to model the processes and people involved in executing them.…”

Section: Background and Literature Surveymentioning

confidence: 99%

Investigating the Effect of Organization Structure and Cognitive Profiles on Engineering Team Performance Using Agent-Based Models and Graph Theory

Estes,

Pandey

2023

Mathematics

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In large engineering firms, most design projects are undertaken by teams of individuals. From the perspective of senior management, the overall project team must maintain scheduling, investment and return on the investment discipline while solving technical problems. Various tools exist in systems engineering (SE) that can reflect the value provided by the resources invested; however, the involvement of human decision makers complicates most types of analyses. A critical ingredient in this challenge is the interplay of the cognitive attributes of team members and the relationships that exist between them. This aspect has not been fully addressed in the literature, rendering many studies relatively oblivious to team dynamics and organization structures. To this end, we propose a framework to incorporate organization structure using a graph representation. This is then used to inform an agent-based model where team dynamics are simulated to understand the effects of cognitive attributes and team member relationships. In this work, we aim to understand team dynamics in the context of product development. The organization is modeled using the Barabasi–Albert scale-free network. The information regarding member relationships can be acquired through graph metrics such as the various centrality measures associated with the members and the distance between them. This is then used to model the dynamics of the members when they work on a technical problem, in conjunction with their other cognitive attributes. We present some results and discuss avenues for future work.

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A reliability analysis for electronic devices under an extension of exponentiated perks distribution

Cited by 9 publications

References 43 publications

A reliability analysis technique for complex systems with retaining fuzzy information

A reliability analysis technique for complex systems with retaining fuzzy information

A two‐parameter parsimonious bathtub model for the analysis of system failure times with illustrations to reliability data

Investigating the Effect of Organization Structure and Cognitive Profiles on Engineering Team Performance Using Agent-Based Models and Graph Theory

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