Artificial Intelligence for Safety and Reliability Engineering Methods, Applications, and Challenges /
This book is a comprehensive exploration of the latest theoretical research, technological advancements, and real-world applications of artificial intelligence (AI) for safety and reliability engineering. Smart manufacturing relies on predictive maintenance (PdM) to ensure sustainable production sys...
Kaydedildi:
| Müşterek Yazar: | |
|---|---|
| Diğer Yazarlar: | |
| Materyal Türü: | Elektronik Ekitap |
| Dil: | İngilizce |
| Baskı/Yayın Bilgisi: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
|
| Edisyon: | 1st ed. 2024. |
| Seri Bilgileri: | Springer Series in Reliability Engineering,
|
| Konular: | |
| Online Erişim: | https://doi.org/10.1007/978-3-031-71495-5 |
| Etiketler: |
Etiketle
Etiket eklenmemiş, İlk siz ekleyin!
|
İçindekiler:
- Introduction to Artificial Intelligence for Safety and Reliability Engineering
- Artificial Intelligence for Safety and Reliability Engineering in Industry 5.0 Methods, Applications and Challenges
- System Reliability Inference for Common Cause Failure Model in Contexts of Missing Information
- Predictive maintenance enabled by a Light Weight Federated Learning in Smart Manufacturing: Remaining Useful Lifetime Prediction
- Explainable Trustworthy and Transparent Artificial Intelligence for Reliability Engineering and Safety Applications
- Inverse Reinforcement Learning for Predictive Maintenance
- Reliability and Risk Assessment with Explainable Artificial Intelligence
- An Anomaly Detection Framework for Safety and Reliability Engineering
- Wearable Technology for Workplace Safety with Embedded Artificial Intelligence
- Safety and Reliability of Artificial Intelligence systems
- Physics-informed machine learning for reliability and systems safety applications.