Field Failure Data: an Alternative Proposal for Reliability Estimation

Marcorin, Adílson J.; Abackerli, Alvaro José

doi:10.1002/qre.768

Cited by 10 publications

(8 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The following studies are also of interest to the reader: Krivtsov and Frankstein, Marcorin and Abackerli, Suzuki, Phillips and Sweeting, Phillips, Mohan et al ., Meeker et al ., Zuo and Meeker, Escobar and Meeker and Elkins and Wortman …”

Section: For Further Readingsmentioning

confidence: 99%

Warranty Data Analysis: A Review

2012

Quality & Reliability Eng

View full text Add to dashboard Cite

Warranty claims and supplementary data contain useful information about product quality and reliability. Analysing such data can therefore be of benefit to manufacturers in identifying early warnings of abnormalities in their products, providing useful information about failure modes to aid design modification, estimating product reliability for deciding on warranty policy and forecasting future warranty claims needed for preparing fiscal plans.In the last two decades, considerable research has been conducted in warranty data analysis (WDA) from several different perspectives. This article attempts to summarise and review the research and developments in WDA with emphasis on models, methods and applications. It concludes with a brief discussion on current practices and possible future trends in WDA.Dr Shaomin Wu is a lecturer in risk and decision analysis at Cranfield University. His research interests include warranty data analysis, risk analysis, reliability analysis, maintenance policy optimisation and warranty policy optimisation. He has served as a co-chairman of an international conference and a PC Member of a number of international conferences in reliability engineering and computer sciences. He is also an Editorial Board Member on three international journals. He has published over 35 papers in international journals.

show abstract

Section: For Further Readingsmentioning

confidence: 99%

Warranty Data Analysis: A Review

2012

Quality & Reliability Eng

View full text Add to dashboard Cite

show abstract

“…The field failure data (eg, failure data from warranty claims) are often heavily censored, 11#x02013;14 and the estimation problems based on such data are very difficult 15#x02013;17 . Specifically, the classical methods such as the MLM and LSM cannot provide robust parameter estimates 8,14,18 ; and the exponential‐assumption–based method can considerably overestimate the MTTF, as illustrated later.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, the LEV‐function–based LSM can outperform the ordinary LSM since more data points are used. However, their method has two drawbacks: The LSM is highly sensitive to the position of a data point. It is not applicable for the data from a multiple truncation pattern. Finally, Marcorin and Abackerli combine the Kaplan‐Meier nonparametric cdf with resampling techniques to augment the data 16 …”

Section: Introductionmentioning

confidence: 99%

A novel MTTF estimator and associated parameter estimation method on heavily censoring data

Jiang

2020

Quality & Reliability Eng

View full text Add to dashboard Cite

Many reliability and maintenance decision problems need to estimate mean‐time‐to‐failure (MTTF) of a particular product component and/or build its life distribution model as early as possible based on field failure data. The field failure data are often heavily censored. In this case, the exponential‐assumption–based method can considerably overestimate the MTTF, and the classical parameter estimation methods such as the maximum likelihood method (MLM) cannot provide robust estimates. This paper aims to address this issue through proposing a novel method to estimate the MTTF and life distribution parameters. The proposed method first derives a nonparametric estimator of MTTF based on the decomposition of the integral expression of the theoretical MTTF and sample statistical characteristics. The estimated MTTF is then combined with a two‐step single‐parameter MLM to estimate the distribution parameters. A numerical experiment is carried out, and a real‐world dataset is analyzed. The results show that the proposed method can provide accurate and robust estimates for the MTTF and distribution parameters. The method is applicable for any life distribution and offers practitioners an efficient tool for reliability analysis.

show abstract

“…wind turbines) are under observation, and the heavily censored samples are due to the fact that there can be multiple different observation windows and their observation intervals are relatively short. Many authors have noticed the heavily censored characteristic, 5–9 but the large sample characteristic is rarely mentioned in the literature.…”

Section: Introductionmentioning

confidence: 99%

A novel parameter estimation method for the Weibull distribution on heavily censored data

Jiang

2019

Proceedings of the Institution of Mechanical Engineers, Part O:

View full text Add to dashboard Cite

It is desired to build the life distribution models of critical components (which are assumed to be non-repairable) of a repairable system as early as possible based on field failure data in order to optimize the operation and maintenance decisions of the components. When the number of the systems under observation is large and the observation duration is relatively short, the samples obtained for modeling are large and heavily censored. For such samples, the classical parameter estimation methods (e.g. maximum likelihood method and least square method) do not provide robust estimates. To address this issue, this article develops a hybrid censoring index to quantitatively describe censoring characteristics of a data set, proposes a novel parameter estimation method based on information extracted from censored observations, and evaluates the accuracy and robustness of the proposed method through a numerical experiment. Its applicable range in terms of the hybrid censoring index is determined through an accuracy analysis. The experiment results show that the proposed approach provides much accurate estimates than the classical methods for heavily censored data. A real-world example is also included.

show abstract

Field Failure Data: an Alternative Proposal for Reliability Estimation

Cited by 10 publications

References 12 publications

Warranty Data Analysis: A Review

Warranty Data Analysis: A Review

A novel MTTF estimator and associated parameter estimation method on heavily censoring data

A novel parameter estimation method for the Weibull distribution on heavily censored data

Contact Info

Product

Resources

About