Bioinspired membrane learnable spiking neural network for autonomous vehicle sensors fault diagnosis under open environments
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DOI: 10.1016/j.ress.2023.109102
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- Guan, Yang & Meng, Zong & Sun, Dengyun & Liu, Jingbo & Fan, Fengjie, 2021. "2MNet: Multi-sensor and multi-scale model toward accurate fault diagnosis of rolling bearing," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
- Jing Pei & Lei Deng & Sen Song & Mingguo Zhao & Youhui Zhang & Shuang Wu & Guanrui Wang & Zhe Zou & Zhenzhi Wu & Wei He & Feng Chen & Ning Deng & Si Wu & Yu Wang & Yujie Wu & Zheyu Yang & Cheng Ma & G, 2019. "Towards artificial general intelligence with hybrid Tianjic chip architecture," Nature, Nature, vol. 572(7767), pages 106-111, August.
- Han, Te & Li, Yan-Fu, 2022. "Out-of-distribution detection-assisted trustworthy machinery fault diagnosis approach with uncertainty-aware deep ensembles," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
- Kaushik Roy & Akhilesh Jaiswal & Priyadarshini Panda, 2019. "Towards spike-based machine intelligence with neuromorphic computing," Nature, Nature, vol. 575(7784), pages 607-617, November.
- Xu, Yadong & Yan, Xiaoan & Sun, Beibei & Liu, Zheng, 2022. "Global contextual residual convolutional neural networks for motor fault diagnosis under variable-speed conditions," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
- Zuo, Lin & Xu, Fengjie & Zhang, Changhua & Xiahou, Tangfan & Liu, Yu, 2022. "A multi-layer spiking neural network-based approach to bearing fault diagnosis," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
- Chen, Xi & Bose, Neil & Brito, Mario & Khan, Faisal & Thanyamanta, Bo & Zou, Ting, 2021. "A Review of Risk Analysis Research for the Operations of Autonomous Underwater Vehicles," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
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Cited by:
- Yeh, Wei-Chang, 2024. "Time-reliability optimization for the stochastic traveling salesman problem," Reliability Engineering and System Safety, Elsevier, vol. 248(C).
- Wang, Huan & Li, Yan-Fu & Zhang, Ying, 2023. "Bioinspired spiking spatiotemporal attention framework for lithium-ion batteries state-of-health estimation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
- Zhang, Wenjun & Zhang, Yingjun & Zhang, Chuang, 2024. "Research on risk assessment of maritime autonomous surface ships based on catastrophe theory," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
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Keywords
Fault diagnosis; Health status prediction; Spiking neural network; Autonomous vehicle sensors;All these keywords.
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