Condition Monitoring and Failure Probability Estimation: AI-Based Predictive Maintenance Frameworks for Insurance Asset Portfolio Management

Authors

  • Yasushi Wada Associate Professor of Mechanical Engineering, Tohoku University

Keywords:

condition monitoring, failure probability estimation, predictive maintenance frameworks, insurance asset portfolio management, machine learning

Abstract

In today's society, the concept of predictive maintenance has been successfully applied in many industrial fields. However, predictive maintenance not only plays an important role in asset management but has not been widely used in the insurance industry. As a subordinate scope of asset management, insurance asset management plays an important role in insurance operations.

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Published

30-06-2023

How to Cite

[1]
“Condition Monitoring and Failure Probability Estimation: AI-Based Predictive Maintenance Frameworks for Insurance Asset Portfolio Management”, Human-Computer Interaction Persp., vol. 3, no. 1, pp. 60–67, Jun. 2023, Accessed: Jun. 04, 2026. [Online]. Available: https://thesciencebrigade.com/hcip/article/view/792