Storage availability of one-shot system under periodic inspection considering inspection error

Zhao, Qian; Yun, Won Young

doi:10.1016/j.ress.2019.02.016

Cited by 13 publications

(5 citation statements)

References 29 publications

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“…In 2019, ref. [74] developed a model to determine the optimal inspection intervals for a one-shot system with n components that undergo periodic inspections. It was assumed that the failure times of all components in a series structure are independent and follow an exponential distribution.…”

Section: False Positive αmentioning

confidence: 99%

A Historical Survey of Corrective and Preventive Maintenance Models with Imperfect Inspections: Cases of Constant and Non-Constant Probabilities of Decision Making

Ulansky,

Raza

2024

Aerospace

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Maintenance strategies play a crucial role in ensuring the reliability and performance of complex systems. Imperfect inspections, characterized by the probabilities of false positives and false negatives, significantly impact the effectiveness of maintenance decisions. This survey explores maintenance models under imperfect inspections, characterized by constant and non-constant probabilities of false positives and false negatives. This study investigates various maintenance approaches, such as preventive and corrective maintenance, and evaluates their performance, considering the uncertainties introduced by imperfect inspections. By analyzing the existing literature and research findings, this survey provides valuable insights into the challenges and opportunities associated with maintenance decision making in the presence of inspection imperfections. The comparison between maintenance models with constant and non-constant probabilities of false positives and false negatives sheds light on the dynamic nature of these models, enabling a deeper understanding of their real-world applicability and effectiveness. This comprehensive overview is a valuable resource for researchers, practitioners, and decision makers involved in maintenance planning and optimization in diverse industrial sectors.

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Section: False Positive αmentioning

confidence: 99%

A Historical Survey of Corrective and Preventive Maintenance Models with Imperfect Inspections: Cases of Constant and Non-Constant Probabilities of Decision Making

Ulansky,

Raza

2024

Aerospace

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“…Here P is a predictor parameter and traditionally its value is taken as 0.5 in the original model. GM (1,1) is given as x (0) (k) + az (1)…”

Section: Grey Forecasting Modelsmentioning

confidence: 99%

“…The service reliability requirement for such systems is very high due to the mission profile and application. Failure of any critical component due to storage fatigue and degradation can cause mission failure [1,2]. In order to make accurate estimations of remaining useful life (RUL) and reliability predictions of these systems and subsystems, it is necessary to examine the prognostic health of critical components.…”

Section: Introductionmentioning

confidence: 99%

“…Reliasoft ALTA-7 is used for degradation data analysis of electronic components with fail (F) or sustain (S) type data inputs, and Weibull analysis is performed to estimate standard and conditional reliability of the device under test (DUT). Grey forecasting models, GM (1,1) and discrete grey forecasting model, DGM (1,1), are used to estimate RUL using the degradation of the explosive part as it provides the best estimation under a limited data environment [32].…”

Section: Introductionmentioning

confidence: 99%

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Reliability and Remaining Life Assessment of an Electronic Fuze Using Accelerated Life Testing

et al. 2020

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An electronic fuze is a one-shot system that has a long storage life and high mission criticality. Fuzes are designed, developed, and tested for high reliability (over 99%) with a confidence level of more than 95%. The electronic circuit of a fuze is embedded in the fuze assembly, and thus is not visible. Go/NoGo fuze assembly mission critical testing does not provide prognostic information about electrical and electronic circuits and subtle causes of failure. Longer storage times and harsh conditions cause degradation at the component level. In order to calculate accrued damage due to storage and operational stresses, it is necessary to perform sample-based accelerated life testing after a certain time and estimate the remaining useful life of mission critical parts. Reliability studies of mechanical parts of such systems using nondestructive testing (NDT) have been performed, but a thorough investigation is missing with regards to the electronic parts. The objective of this study is to identify weak links and estimate the reliability and remaining useful life of electronic and detonating parts. Three critical components are identified in an electronic fuze circuit (1) a diode, (2) a capacitor, and (3) a squib or detonator. The accelerated test results reveal that after ten years of storage life, there is no significant degradation in active components while passive components need to be replaced. The squib has a remaining useful life (RUL) of more than ten years with reliability over 99%.

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“…15 In Refs. [16][17][18] , the above storage system is called as one-shot system and the system reliability and availability were obtained. Other recent works on storage reliability with periodic inspections can be found in Refs.…”

Section: Introductionmentioning

confidence: 99%

Periodic and sequential inspection policies with mission failure probabilities

Zhao

Zheng

Jia

et al. 2021

Quality & Reliability Eng

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When a unit should provide reliability at mission time, the mission success probability or failure probability becomes an important constraint to plan inspection policies. From this viewpoint, this paper considers the optimization problems of periodic and sequential inspection policies with mission failure probabilities. In this paper, a mission time is considered as a renewal point for inspection polices, but the failure cost occurred at mission time is higher than the total cost of inspection and failure detection. We give an upper limit of the failure probability at mission time, that is, mission failure probability, to minimize the total expected costs and the expected cost rates of inspection policies. In addition, the extended models of inspection policies for an interval mission, possible random times, and operating interval are discussed.

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Storage availability of one-shot system under periodic inspection considering inspection error

Cited by 13 publications

References 29 publications

A Historical Survey of Corrective and Preventive Maintenance Models with Imperfect Inspections: Cases of Constant and Non-Constant Probabilities of Decision Making

A Historical Survey of Corrective and Preventive Maintenance Models with Imperfect Inspections: Cases of Constant and Non-Constant Probabilities of Decision Making

Reliability and Remaining Life Assessment of an Electronic Fuze Using Accelerated Life Testing

Periodic and sequential inspection policies with mission failure probabilities

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