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Quality and Reliability Engineering International - 巻 41 / 号 1
タイトル
著者
巻
号
ページ
年
PKV
Combined improved tuna swarm optimization with graph convolutional neural network for remaining useful life of engine
Yongliang Yuan, Qingkang Yang, Guohu Wang, Jianji Ren, Zhenxi Wang, Feng Qiu, Kunpeng Li, Haiqing Liu
41
1
174–191
2024
0.0
平均評価: 0.0 / 5
(0 件のレビュー)
A condition‐based maintenance optimization method with oscillating uncertain degradation process
Shuyu Li, Meilin Wen, Tianpei Zu, Rui Kang
41
1
1–29
2024
0.0
平均評価: 0.0 / 5
(0 件のレビュー)
Reliability test for degradation data based on ranked set sampling
Wenhan Zhang, Xiaojun Zhu, Mu He, Balakrishnan Narayanaswamy
41
1
235–254
2024
0.0
平均評価: 0.0 / 5
(0 件のレビュー)
Alias‐informed model selection (AIMS) for 7 and 8 factor no‐confounding 16‐run fractional factorial designs
Carly E. Metcalfe, Bradley Jones, Douglas C. Montgomery
41
1
192–203
2024
0.0
平均評価: 0.0 / 5
(0 件のレビュー)
Assessment of reliability and availability of a system by using a bivariate stochastic model
Muhammad Mohsin, Aisha Bilal, Zulfiqar Ali
41
1
255–273
2024
0.0
平均評価: 0.0 / 5
(0 件のレビュー)
Evaluation of orthogonal composite designs for second‐order model in presence of missing observation
Chibuzo Solomon Ezievuo, Abimibola Victoria Oladugba, Oluwagbenga Tobi Babatunde
41
1
204–234
2024
0.0
平均評価: 0.0 / 5
(0 件のレビュー)
Enhanced health states recognition for electric rudder system using optimized twin support vector machine
Chenxia Guo, Hao Qin, Ruifeng Yang
41
1
274–292
2024
0.0
平均評価: 0.0 / 5
(0 件のレビュー)
Monitoring defects on products' surface by incorporating scan statistics into process monitoring procedures
Sotirios Bersimis, Athanasios Sachlas, Polychronis Economou
41
1
293–317
2024
0.0
平均評価: 0.0 / 5
(0 件のレビュー)
Dynamic predictive maintenance strategy for multi‐component system based on LSTM and hierarchical clustering
Lv Yaqiong, Zheng Pan, Li Yifan, Wang Xian
41
1
30–50
2024
0.0
平均評価: 0.0 / 5
(0 件のレビュー)
A resilient S2 monitoring chart with novel outlier detectors
Ayesha Awais, Nadia Saeed
41
1
318–330
2024
0.0
平均評価: 0.0 / 5
(0 件のレビュー)
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