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Modelling accelerated life testing based on mean residual life
International Journal of Systems Science, 2005Accelerated life testing (ALT) is a widely used approach for reliability demonstration and prediction. Extensive research on ALT models has been focused on Accelerated Failure Time (AFT) models, Proportional Hazards (PH) models and some extensions of these two models.
Wenbiao Zhao, Elsayed A. Elsayed
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Optimality in Accelerated Life Tests
Mathematics of Operations Research, 1992We formulate a stochastic control problem arising from the optimal design of accelerated life tests. The model is obtained, in a natural way, in the setup of point processes. The cost functional depends on the total number of items under test at time t, the observed number of items failed up to time t, and the stress level applied to the items under ...
G. Del Grosso +2 more
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Nonparametric Accelerated Life Testing
IEEE Transactions on Reliability, 1982This paper considers the problem of nonparametric accelerated life testing by extending the results of Shaked & Singpurwalla in two directions. First we solve the case of censored data. Next we extend the methods to the case of competing risks. A s-consistent estimate of the failure distribution at use-stress is given for both cases.
Basu, A. P., Ebrahimi, Nader
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Development of Accelerated Life Test
2008 IEEE Conference on Robotics, Automation and Mechatronics, 2008This paper summarizes the development of accelerated life test types, model, statistical method and its progress. To the mechatronic component whose failure mechanism is related to various operational stresses, the best way is to exploit variable stress accelerated life test (ALT), obtain the likelihood function with failure accumulative method, and ...
Sijun Zhao +3 more
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Accelerated life tests of ceramic capacitors
38th Electronics Components Conference 1988., Proceedings., 1988Multilayer capacitors prepared from three different ceramics were tested under highly accelerated conditions of both voltage and temperature. Three types of breakdown were encountered: avalanche, fast thermal degradation, and diffusion or wearout. The goal was to determine whether data from highly accelerated life tests could be used to plot failure ...
B. Mogilevsky, G. Shirn
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A Software Accelerated Life Testing Model
2010 IEEE 16th Pacific Rim International Symposium on Dependable Computing, 2010Software system developed for a specific user under contract undergoes a period of testing by the user before acceptance. This is known as user acceptance testing and is useful to debug the software in the user's operational circumstance. In this paper we first present a simple non-homogeneous Poisson process (NHPP)-based software reliability model to ...
Toshiya Fujii +3 more
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Accelerated Life Test and Life Prediction of an Electromechanical Actuator
2019 International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM), 2019This paper gives an accelerated test method for electromechanical actuator (EMA) and predicts its life based on Wiener process degradation model. According to the historical fault data and the FMECA analysis, we obtain that the key weak links of the electromechanical actuators are the electromagnetic clutch and the tachogenerator.
Na Han, Jun Yao, Shaopei Li
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Accelerated Life Tests and Information
Radiation Research, 1982BARLOW, R. E. Accelerated Life Tests and Information. Radiat. Res. 90, 90-97 (1982). This is a partly philosophical discussion of the problems of conducting accelerated life test experiments and analyzing data from such experiments. The objective is to predict life at a specified stress level or radiation dose.
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Accelerated Life Testing and Experts' Opinion in Reliability.
Journal of the Royal Statistical Society. Series A (Statistics in Society), 1990Introduction. Accelerated life testing and experts' opinion in reliability (D.V. Lindley). Experts' Opinions. Modern aspects of probability and utility (M.H. De Groot). The use of probability statements (D.V. Lindley). Choosing among experts (M.H. De Groot). A Bayesian view of weighted distributions and selection models (M.J. Bayarri and M.H. De Groot).
Francisco J. Samaniego +2 more
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