アクセスランキング(PKV)
Currently viewing Reliability and Quality Engineering Field Ranking
Featured Field Today
Materials
Discover highly accessed papers in this field.
Top Paper
Fatigue crack propagation behavior of multiphase microstructure in a quenched and partitioned medium-carbon bainitic steel
| 順位 | タイトル | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| 著者 | 雑誌 | 巻 | 号 | ページ | 年 | PKVアクセス数 | |||
| 4471 | Gear fault diagnosis based on small channel convolutional neural network under multiscale fusion attention mechanism | ||||||||
| Xuejiao Du, Bowen Liu, Jingbo Gai, Yulin Zhang, Xiangfeng Shi, Hailong Tian | Quality and Reliability Engineering International | 40 | 8 | 4147–4165 | 2024 | 3.0 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 4472 | Enhanced stochastic recurrent hybrid model for RUL Predictions via Semi-supervised learning | ||||||||
| Yan-Hui Lin, Liang Chang, Lu-Xin Guan | Reliability Engineering & System Safety | 248 | None | 110167–None | 2024 | 3.0 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 4473 | Merging multi-level evidential observations for dynamic reliability assessment of hierarchical multi-state systems: A dynamic Bayesian network approach | ||||||||
| Tudi Huang, Tangfan Xiahou, Jinhua Mi, Hong Chen, Hong-Zhong Huang, Yu Liu | Reliability Engineering & System Safety | 249 | None | 110225–None | 2024 | 3.0 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 4474 | A nonparametric degradation modeling method for remaining useful life prediction with fragment data | ||||||||
| Naipeng Li, Mingyang Wang, Yaguo Lei, Xiaosheng Si, Bin Yang, Xiang Li | Reliability Engineering & System Safety | 249 | None | 110224–None | 2024 | 3.0 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 4475 | Optimal maintenance policy considering imperfect switching for a multi‐state warm standby system | ||||||||
| Fa‐Qun Qi, Yun‐Ke Wang, Hong‐Zhong Huang | Quality and Reliability Engineering International | 40 | 5 | 2423–2443 | 2024 | 3.0 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 4476 | A multi-stage quantitative resilience analysis and optimization framework considering dynamic decisions for urban infrastructure systems | ||||||||
| Feng Wang, Jin Tian, Chenli Shi, Jiamu Ling, Zian Chen, Zhengguo Xu | Reliability Engineering & System Safety | 243 | None | 109851–None | 2024 | 3.0 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 4477 | A novel degradation model and reliability evaluation methodology based on two-phase feature extraction: An application to marine lubricating oil pump | ||||||||
| Zhiwei Chen, Yanlin Zhao, Jinling Yang, Yao Wang, Hongyan Dui | Reliability Engineering & System Safety | 243 | None | 109883–None | 2024 | 3.0 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 4478 | More eyes on the road: Sensing flooded roads by fusing real-time observations from public data sources | ||||||||
| Pranavesh Panakkal, Jamie Ellen Padgett | Reliability Engineering & System Safety | 251 | None | 110368–None | 2024 | 3.0 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 4479 | A data-driven risk assessment of Arctic maritime incidents: Using machine learning to predict incident types and identify risk factors | ||||||||
| Rajesh Kandel, Hiba Baroud | Reliability Engineering & System Safety | 243 | None | 109779–None | 2024 | 3.0 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 4480 | A reinforcement learning agent for maintenance of deteriorating systems with increasingly imperfect repairs | ||||||||
| Alberto Pliego Marugán, Jesús M. Pinar-Pérez, Fausto Pedro García Márquez | Reliability Engineering & System Safety | 252 | None | 110466–None | 2024 | 3.0 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||