Optimal design of accelerated life testing plans for periodical replacement with penalty

Liao, Haitao

doi:10.1002/nav.20326

Cited by 9 publications

(4 citation statements)

References 34 publications

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“…where μ is the location parameter, σ is the scale parameter, and Φ(•) is the standard extreme value or the standard normal distribution [14][15][16][17][18][19]; To estimate multiple quantiles [20][21][22]; for acceptance of product [23,24]; to select the optimal product [25]; to estimate the quantile of the different products under normal stress [26]; to estimate the other parameters [27][28][29][30] Test forms…”

Section: Statistical Modelmentioning

confidence: 99%

Design of Accelerated Life Test Plans—Overview and Prospect

Chen

Gao

Pan

et al. 2018

Chin. J. Mech. Eng.

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Accelerated life test (ALT) is currently the main method of assessing product reliability rapidly, and the design of efficient test plans is a critical step to ensure that ALTs can assess the product reliability accurately, quickly, and economically. With the promotion of the national strategy of civil-military integration, ALT will be widely used in the research and development (R&D) of various types of products, and the ALT plan design theory will face further challenges. To aid engineers in selecting appropriate theories and to stimulate researchers to develop the theories required in engineering, with focus on the demands for theory research that arise from the implementation of ALT, this paper reviews and summarizes the development of ALT plan design theory. The development of the theory and method for planning optimal ALT for location-scale distribution, which is the most applied and mature theory of designing the optimal ALT plan, are described in detail. Taking this as the center of radiation, some problems that ALT now faces, such as the verification of the statistical model, limitation of sample size, solutions of resource limits, optimization of the test arrangement, and management of product complexity, are discussed, and the general ideas and methods of solving these problems are analyzed. Suggestions for selecting appropriate ALT plan design theories are proposed, and the urgent solved theory problems and opinions of their solutions are proposed. Based on the principle of convenience for engineers to select appropriate methods according to the problems found in practice, this paper reviews the development of optimal ALT plan design theory by taking the engineering problems arising from the ALT implementation as the main thread, provides guidelines on selecting appropriate theories for engineers, and proposes opinions about the urgent solved theory problems for researchers.

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Section: Statistical Modelmentioning

confidence: 99%

Design of Accelerated Life Test Plans—Overview and Prospect

Chen

Gao

Pan

et al. 2018

Chin. J. Mech. Eng.

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“…For the purpose of maximizing system efficiency, it is assumed that the average operating period is required to keep as long as possible during every cycle of PM and the average downtime must be minimized in this system (Liao, 2009). According to this hypothesis, the average operating time of the system equals the time Ti of every two PM cycles, and the downtime of each cycle is equal to one PM time, which is the minimum expected maintenance time during this period.…”

Section: Model Establishmentmentioning

confidence: 99%

A predictive multi-objective condition-based maintenance (CBM) policy considering ecological factors

Cai

Yang

et al. 2022

JQME

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PurposeThe purpose of this paper is to propose an improved multi-objective optimization model for the condition-based maintenance (CBM) of single-component systems which considers periodic imperfect maintenance and ecological factors.Design/methodology/approachBased on the application of non-periodic preventive CBM, two recursion models are built for the system: hazard rate and the environmental degradation factor. This paper also established an optimal multi-objective model with a normalization process. The multiple-attribute value theory is used to obtain the optimal preventive maintenance (PM) interval. The simulation and sensitivity analyses are applied to obtain further rules.FindingsAn increase in the number of the occurrences could shorten the duration of a maintenance cycle. The maintenance techniques and maintenance efficiency could be improved by increasing system availability, reducing cost rate and improving degraded condition.Practical implicationsIn reality, a variety of environmental situations may occur subsequent to the operations of an advanced manufacturing system. This model could be applied in real cases to help the manufacturers better discover the optimal maintenance cycle with minimized cost and degraded condition of the environment, helping the corporations better fulfill their CSR as well.Originality/valuePrevious research on single-component condition-based predictive maintenance usually focused on the maintenance costs and availability of a system, while ignoring the possible pollution from system operations. This paper proposed a modified multi-objective optimization model considering environment influence which could more comprehensively analyze the factors affecting PM interval.

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“…Tang and Xu proposed a multiobjective CSALT plan considering both the experimental budget constraint and estimation precision. A periodical replacement schedule was considered by Liao in an optimal test plan that minimizes the asymptotic variance of the estimated maintenance cost. Yang considered the warranty cost in designing an ALT plan that minimizes the asymptotic variance of the MLE of warranty cost.…”

Section: Alt Design and Planningmentioning

confidence: 99%

A literature review on planning and analysis of accelerated testing for reliability assessment

Limon

Yadav

Liao

2017

Quality & Reliability Eng

Self Cite

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Accelerated testing has been widely used for several decades. Started with accelerated life tests with constant‐stress loadings, more interest has been focused prominently on accelerated degradation tests and time‐varying stress loadings. Because accelerated testing is crucial to the assessment of product reliability and the design of warranty policy, it is important to develop an efficacious test plan that encompasses and addresses important issues, such as design of stress profiles, sample allocation, test duration, measurement frequency, and budget constraint. In recent years, extensive research has been conducted on the optimal design of accelerated testing plans, and the consideration of multiple stresses with interactions has become a big challenge in such experimental designs. The purpose of this study is to provide a comprehensive review of important methods for statistical inference and optimal design of accelerated testing plans by compiling the existing body of knowledge in the area of accelerated testing. In this work, different types of test planning strategies are categorized, and their drawbacks and the research trends are provided to assist researchers and practitioners in conducting new research in this area.

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Optimal design of accelerated life testing plans for periodical replacement with penalty

Cited by 9 publications

References 34 publications

Design of Accelerated Life Test Plans—Overview and Prospect

Design of Accelerated Life Test Plans—Overview and Prospect

A predictive multi-objective condition-based maintenance (CBM) policy considering ecological factors

A literature review on planning and analysis of accelerated testing for reliability assessment

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