Artificial Intelligence for safety and reliability: A descriptive, bibliometric and interpretative review on machine learning

Author:

Tamascelli NicolaORCID,Campari Alessandro,Parhizkar Tarannom,Paltrinieri NicolaORCID

Funder

Norwegian University of Science and Technology

Publisher

Elsevier BV

Reference127 articles.

1. Fault detection and classification based on Co-training of semisupervised machine learning;Abdelgayed;IEEE Trans. Ind. Electron.,2018

2. A review on fault detection and diagnosis techniques: basics and beyond;Abid;Artif. Intell. Rev.,2021

3. MHIDAS (Major Hazard Incident Data Service),1999

4. Machine learning-based fault diagnosis for single- and multi-faults in induction motors using measured stator currents and vibration signals;Ali;IEEE Trans. Ind. Appl.,2019

5. Self-Training: A Survey;Amini,2022

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Managing workplace AI risks and the future of work;American Journal of Industrial Medicine;2024-09-02

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