Reliability-based inspection and maintenance planning of a nuclear feeder piping system

Bismut, Elizabeth; Pandey, Mahesh D.; Straub, Daniel

doi:10.1016/j.ress.2022.108521

Cited by 13 publications

(4 citation statements)

References 41 publications

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“…For a system with active and standby components operating simultaneously and standby components that are prone to degradation, Golmohammadi & Ardakan (2022) [148] proposed a novel reliability model. An improved standard I&M plan for nuclear feeder piping systems was suggested by Bismut et al (2022) [149] using a reliability-based planning paradigm. The three essential components of shop floor managementmaintenance, production scheduling, and quality-were presented by Tambe & Kulkarni (2022) [150] as an integrated planning approach.…”

Section: Maintenance and Maintainabilitymentioning

confidence: 99%

A review of components of reliability for the evaluation of Programmable logic controller

Obele,

Aikhuele,

Nwosu

2024

WJEEE

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The control of processes is made smooth and effective by Programmable Logic Controllers (PLCs), which are essential to industrial automation. The assessment of PLCs' reliability is crucial since more and more sectors depend on them for crucial tasks. In-depth reviews of the components necessary to evaluate PLC system reliability are presented in this study. To ensure a robust review, the review first clarifies the basic concepts of reliability, highlighting the significance of system uptime and the ramifications of failures in industrial settings. Next, it examined the different elements that go into a PLC's overall reliability, such as availability, testability, and (maintenance and maintainability). The percentage of the reviewed papers that employed (maintenance and maintainability), testability, or availability to improve the reliability of PLC systems showed that, availability and (maintenance and maintainability) has been employed the most for enhancing system reliability, accounting for 32% each of publications analyzed, followed by testability, accounting for 28% respectively. The scatter chart that depicts the progression of reliability components from 2010 to 2023 also explained that the use of availability and (maintenance and maintainability) was increasing. This upward trend can be explained by the fact that repairable systems are heavily reliant on availability, whereas (maintenance and maintainability) tend to avoid unnecessary equipment breakdown and testability, which ensures the ease with which the functionality of any system or component can be ascertained with the required level of precision.

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Section: Maintenance and Maintainabilitymentioning

confidence: 99%

A review of components of reliability for the evaluation of Programmable logic controller

Obele,

Aikhuele,

Nwosu

2024

WJEEE

View full text Add to dashboard Cite

show abstract

“…It is assumed that failures are not self-announcing 25,26 and that a failed unit may continue to operate, albeit with (possibly) reduced performance. Thus, due to the presence of measurement errors, it is also supposed that a perturbed measurement of the degradation state of the unit does not permit to assess with certainty whether a unit is already failed or not.…”

Section: Cdf Of Rulmentioning

confidence: 99%

Misspecification analysis of gamma‐ and inverse Gaussian‐based perturbed degradation processes

Esposito,

Mele,

Castanier

et al. 2023

Appl Stoch Models Bus & Ind

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Albeit not equivalent, in many applications the gamma and the inverse Gaussian processes are treated as if they were. This circumstance makes the misspecification problem of these models interesting and important, especially when data are affected by measurement errors, since noisy/perturbed data do not allow to verify whether the selected model is actually able to adequately fit the real (hidden) degradation process. Motivated by the above considerations, in this paper we conduct a large Monte Carlo study to evaluate whether and how the presence of measurement errors affects this misspecification issue. The study is performed considering as reference models a perturbed gamma process recently proposed in the literature and a new perturbed inverse Gaussian process that share the same non‐Gaussian distributed error term. As an alternative option, we also analyze the more classical case where the error term is Gaussian distributed. We consider both the situation where the true model is the perturbed gamma and the one where it is the perturbed inverse Gaussian. Model parameters are estimated from perturbed data using the maximum likelihood method. Estimates are retrieved by using a new sequential Monte Carlo EM algorithm, which use allows to hugely mitigate the severe numerical issues posed by the direct maximization of the likelihood. The risk of incurring in a misspecification is evaluated as percentage of times the Akaike information criterion leads to select the wrong model. The severity of a misspecification is evaluated in terms of its impact on maximum likelihood estimate of the mean remaining useful life.

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“…As a result, the idea of OR evaluation is put out, which is described as a system capacity to generate a desired output in real time [9]. Further, the results of operational reliability evaluations serve as the foundational data for condition-based maintenance [10]. OR is a product of the in-depth development of reliability based on failure data.…”

Section: Introductionmentioning

confidence: 99%

Operation reliability monitoring towards fault diagnosis of airplane hydraulic system using Quick Access Recorder flight data

Pan

Yang

Liu

et al. 2023

Meas. Sci. Technol.

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Hydraulic system operation reliability (HSOR) can evaluate time series state reliability for hydraulic system fault diagnosis and provide condition based maintenance decisions. The Quick Access Recorder (QAR) flight data and normal values of hydraulic system are utilized to analyze time series HSOR by calculating the operation reliability index. Considering the relationship of the hydraulic subsystem among the components, a hydraulic components Bayesian Network (BN) is constructed to analyze time series HSOR. Furthermore, the sensitivity of HSOR features to fault location is assessed using categorical boosting (CatBoost) and Shapley Additive ex-Planations (SHAP) values. Through the analysis of 2 flights hydraulic system QAR datasets, it is revealed that (i) HSOR can accurately monitor the time series operating states of the hydraulic system; and (ii) with demonstrating two illustrative case, the HSOR values and features sensitivity analysis can be a useful reference for the fault diagnosis and location of the airplane hydraulic system. The study intends to develop a practical reference approach for hydraulic system fault diagnosis and location using QAR data.

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Reliability-based inspection and maintenance planning of a nuclear feeder piping system

Cited by 13 publications

References 41 publications

A review of components of reliability for the evaluation of Programmable logic controller

A review of components of reliability for the evaluation of Programmable logic controller

Misspecification analysis of gamma‐ and inverse Gaussian‐based perturbed degradation processes

Operation reliability monitoring towards fault diagnosis of airplane hydraulic system using Quick Access Recorder flight data

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