In-service reliability assessment and top-down approach provides alternative reliability prediction method

1999 ◽  
Author(s):  
L. Gullo
Keyword(s):  
Reliability Assessment ◽  
Prediction Method ◽  
Reliability Prediction ◽  
Service Reliability ◽  
Top Down

scholarly journals Problems of reliability assessment of impact excitation systems of hydraulic hammers

2017 ◽  
Vol 41 (1) ◽  
pp. 129-150 ◽  
Author(s):  
Marek Sokolski
Keyword(s):  
Reliability Assessment ◽  
Impact Excitation ◽  
Reliability Prediction ◽  
Statistical Distributions ◽  
Research Results ◽  
Topological Structures ◽  
Main Factors

Abstract The topological structures of impact excitation systems in hydraulic hammers were characterized. Basic problems of reliability prediction of elements of these systems are defined. The main factors determining the reliability of working systems were identified. As an application example, the research results of small-sized hydraulic hammers are presented for which the statistical distributions of the maximum values of stresses generated in systems “beater - tool” are estimated. On this basis, the reliability prediction of impact excitation systems of these hammers was made.

scholarly journals PROBABILISTIC DURABILITY PREDICTION OF EXISTING BUILDING ELEMENTS

2004 ◽  
Vol 10 (2) ◽  
pp. 107-112 ◽  
Author(s):  
Romualdas Kliukas ◽  
Antanas Kudzys
Keyword(s):  
Reliability Index ◽  
Probability Distributions ◽  
Reliability Assessment ◽  
Reliability Prediction ◽  
Existing Building ◽  
Reliability Indices ◽  
Latent Defects ◽  
Durability Prediction ◽  
Building Elements

An effect of service and proof actions on probabilistic reliability (serviceability, safety and durability) of building elements (components and members) of existing enclosure and bearing structures is under consideration. Time‐dependent models for reliability assessment of elements under sustained variable and multicycle actions are presented. Revised reliability indices of existing elements exposed to service permanent and variable actions are discussed. It is recommended to assess the long‐term reliability index of elements taking into account the effect of latent defects. Truncated probability distributions of physical‐mechanical resistances of elements and an effect of their latent defects on reliability index assessment are taken into account. Methodological peculiarities of durability prediction of elements and avoiding unfounded premature repairs or replacements are analysed. The applied illustration of the presented method on the probabilistic reliability prediction of deteriorating concrete covers is demonstrated.

The early design reliability prediction method

2019 ◽  
Vol 30 (4) ◽  
pp. 489-508
Author(s):  
Bryan M. O’Halloran ◽  
Christopher Hoyle ◽  
Irem Y. Tumer ◽  
Robert B. Stone
Keyword(s):  
Prediction Method ◽  
Reliability Prediction ◽  
Early Design ◽  
Design Reliability

Reliability Prediction for Offshore Renewable Energy: Data Driven Insights

2017 ◽  
Author(s):  
Fraser J. Ewing ◽  
Philipp R. Thies ◽  
Benson Waldron ◽  
Jonathan Shek ◽  
Michael Wilkinson
Keyword(s):  
Renewable Energy ◽  
Failure Rate ◽  
Reliability Assessment ◽  
Surrogate Data ◽  
Data Sources ◽  
Reliability Prediction ◽  
Failure Rates ◽  
Onshore Wind ◽  
Energy Devices ◽  
Frequency Converters

Accurately quantifying and assessing the reliability of Offshore Renewable Energy (ORE) devices is critical for the successful commercialisation of the industry. At present, due to the nascent stage of the industry and commercial sensitivities there is very little available reliability field data. This presents an issue: how can the reliability of ORE’s be accurately assessed and predicted with a lack of specific reliability data? ORE devices largely rely on the assessment of surrogate data sources for their reliability assessment. To date there are very few published studies that empirically assess the failure rates of offshore renewable energy devices [1]. The applicability of surrogate data sources to the ORE environment is critical and needs to be more thoroughly evaluated for a robust ORE device reliability assessment. This paper tests two commonly held assumptions used in the reliability assessment of ORE devices. Firstly, the constant failure rate assumption that underpins ORE component failure rate estimations is addressed. Secondly, a model that is often used to assess the reliability of onshore wind components, the Non-Homogeneous Poisson Power Law Process (PLP) model is empirically assessed and trend tested to determine its suitability for use in ORE reliability prediction. This paper suggests that pitch systems, generators and frequency converters cannot be considered to have constant failure rates when analysed via nonrepairable methods. Thus, when performing a reliability assessment of an ORE device using non-repairable surrogate data it cannot always be assumed that these components will exhibit random failures. Secondly, this paper suggests when using repairable system methods, the PLP model is not always accurate at describing the failure behaviour of onshore wind pitch systems, generators and frequency converters whether they are assessed as groups of turbines or individually. Thus, when performing a reliability assessment of an ORE device using repairable surrogate data both model choice and assumptions should be carefully considered.

Fracture Strength Estimation of SiC Block for IS Process

2010 ◽  
Author(s):  
Hiroaki Takegami ◽  
Atsuhiko Terada ◽  
Kaoru Onuki ◽  
Ryutaro Hino
Keyword(s):  
Fracture Strength ◽  
Large Scale ◽  
Weibull Modulus ◽  
Reliability Assessment ◽  
Prediction Method ◽  
Scale Model ◽  
Small Scale ◽  
Energy Agency ◽  
Destructive Test ◽  
Small Scale Model

The Japan Atomic Energy Agency has been conducting R&D on thermochemical water-splitting Iodine-Sulfur (IS) process for hydrogen production to meet massive demand in the future hydrogen economy. A concept of sulfuric acid decomposer was developed featuring a heat exchanger block made of SiC. Recent activity has focused on the reliability assessment of SiC block. Although knowing the strength of SiC block is important for the reliability assessment, it is difficult to evaluate a large-scale ceramics structure without destructive test. In this study, a novel approach for strength estimation of SiC structure was proposed. Since accurate strength estimation of individual ceramics structure is difficult, a prediction method of minimum strength in the structure of the same design was proposed based on effective volume theory and optimized Weibull modulus. Optimum value of the Weibull modulus was determined for estimating the lowest strength. The strength estimation line was developed by using the determined modulus. The validity of the line was verified by destructive test of SiC block model, which is small-scale model of the SiC block. The fracture strength of small-scale model satisfied the predicted strength.

Sign in / Sign up

Export Citation Format

Share Document