Cover Image, Volume 38, Issue 7.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. i, doi. 10.1002/qre.3218
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Works in Quality & Reliability Engineering International, 2022, Vol 38, Issue 7
Results: 37
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Estimation of waste‐to‐energy system reliability under hierarchical Bayesian.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3892, doi. 10.1002/qre.3183
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3
Bayesian and non‐Bayesian inference of Weibull lifetime model based on partially observed competing risks data under unified hybrid censoring scheme.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3867, doi. 10.1002/qre.3180
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4
Degradation analysis with nonlinear exponential‐dispersion process: Bayesian offline and online perspectives.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3844, doi. 10.1002/qre.3179
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5
RUL prediction based on two‐phase wiener process.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3829, doi. 10.1002/qre.3177
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6
Online monitoring of profiles via function‐on‐scalar model with an application to industrial busbar.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3816, doi. 10.1002/qre.3176
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7
Reliability analysis of complex electromechanical systems: State of the art, challenges, and prospects.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3935, doi. 10.1002/qre.3175
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8
Two‐dimensional wavelet based statistical monitoring of image data.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3797, doi. 10.1002/qre.3174
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9
Analysis of Wilson‐Hilferty distribution under progressive Type‐II censoring.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3771, doi. 10.1002/qre.3173
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10
The adaptive weight learning function for reliability analysis and its application to multiple active learning methods.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3755, doi. 10.1002/qre.3171
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11
Reliability analysis of systems with mixed uncertainties based on Bhattacharyya distance and Bayesian network.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3741, doi. 10.1002/qre.3170
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12
The use of the C<sub>pm</sub> index to monitor processes.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3632, doi. 10.1002/qre.3160
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- Article
13
Deciles‐based EWMA‐type sign charts for process dispersion.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3726, doi. 10.1002/qre.3169
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14
Data‐driven maintenance planning and scheduling based on predicted railway track condition.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3689, doi. 10.1002/qre.3166
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15
A Markovian analytical approach to a repairable system under the mixed redundancy strategy with a repairman.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3663, doi. 10.1002/qre.3164
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16
Imputation of continuous missing values in profile data.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3644, doi. 10.1002/qre.3162
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17
Left‐truncated and right‐censored field failure data: Review of parametric analysis for reliability.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3919, doi. 10.1002/qre.3161
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18
A Wiener degradation process with drift‐based approach of determining target reliability index of concrete structures.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3710, doi. 10.1002/qre.3168
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19
Reliability investigation of exponentiated Weibull distribution using IPL through numerical and artificial neural network modeling.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3616, doi. 10.1002/qre.3155
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20
Comparisons of some memory‐type control chart for monitoring Weibull‐distributed time between events and some new results.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3598, doi. 10.1002/qre.3154
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21
An active learning Bayesian ensemble surrogate model for structural reliability analysis.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3579, doi. 10.1002/qre.3152
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22
Remaining useful life prediction using composite health index and hybrid LSTM‐SVR model.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3559, doi. 10.1002/qre.3151
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23
Compound optimality criteria and graphical tools for designs for prediction.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3543, doi. 10.1002/qre.3150
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24
Simultaneous monitoring of mean vector and covariance matrix of auto‐correlated multivariate multiple linear profiles.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3513, doi. 10.1002/qre.3149
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25
Two‐stage degradation modeling for remaining useful life prediction based on the Wiener process with measurement errors.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3485, doi. 10.1002/qre.3147
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26
A closer look at the equivalence of Bernoulli and geometric CUSUM control charts.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3470, doi. 10.1002/qre.3145
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27
Structure of bivariate Rayleigh proportional hazard rate model with its associated copula applied on COVID‐19 data.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3451, doi. 10.1002/qre.3143
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28
Monitoring profiles in multistage processes using the multivariate multiple regression model.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3437, doi. 10.1002/qre.3142
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29
Design of a new adaptive EWMA control chart.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3422, doi. 10.1002/qre.3141
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30
A bootstrap method for the measurement error estimation in Gauge R&R$R{\&}R$ Studies.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3404, doi. 10.1002/qre.3137
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- Article
31
Performance of the Shiryaev‐Roberts‐type scheme in comparison to the CUSUM and EWMA schemes in monitoring weibull scale parameter based on Type I censored data.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3379, doi. 10.1002/qre.3125
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32
An adaptive multivariate EWMA mean chart with variable sample sizes and/or variable sampling intervals.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3322, doi. 10.1002/qre.3120
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33
An approach for improvements on the attribute npx$np_x$ control chart.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3342, doi. 10.1002/qre.3121
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34
Design choice and machine learning model performances.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3357, doi. 10.1002/qre.3123
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35
Proportional hazard‐based robust monitoring schemes using logistic distribution.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3304, doi. 10.1002/qre.3118
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36
Two‐phase multivariate supplier selection for symmetric specification region and correlated quality characteristics.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 3291, doi. 10.1002/qre.3115
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- Article
37
Issue Information.
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- Quality & Reliability Engineering International, 2022, v. 38, n. 7, p. 1, doi. 10.1002/qre.2918
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- Article