Reinforcement learning for predictive maintenance: a systematic technical review

• Published in: The Artificial intelligence review Vol. 56; no. 11; pp. 12885 - 12947
• Main Authors: Siraskar, Rajesh, Kumar, Satish, Patil, Shruti, Bongale, Arunkumar, Kotecha, Ketan
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.11.2023; Springer; Springer Nature B.V
• Subjects: Analysis; Artificial Intelligence; Computer Science; Data mining; Enterprise resource planning; Internet of Things; Manufacturing; Optimization; Optimization techniques; Predictive maintenance; Sensors; Surveys; Task complexity; Taxonomy; Practitioner; Mathematical treatment; Taxonomy; Case-studies; Reinforcement learning; Predictive maintenance

The manufacturing world is subject to ever-increasing cost optimization pressures. Maintenance adds to cost and disrupts production; optimized maintenance is therefore of utmost interest. As an autonomous learning mechanism reinforcement learning (RL) is increasingly used to solve complex tasks. Whi...