Innovation in Risk Management and Industrial Maintenance: Application of Mathematical Models and Artificial Intelligence for the Prevention and Prediction of Accidents
Risk management and industrial maintenance have evolved into proactive approaches supported by emerging technologies. This article explores the integration of mathematical models and artificial intelligence (AI) techniques in the prediction and prevention of industrial accidents. Through systematic review, predictive modeling, and case study analysis, significant improvements in operational efficiency and occupational safety are evidenced. It is concluded that AI and quantitative models are key tools in the digital transformation of industrial maintenance.
Authors
- Giuseppe Converso (ORCID: https://orcid.org/0009-0007-6312-312X)
- Angélica María Contreras Jáuregui
- Janeth Lorena Valero Pabón
- Gilbert Adrian Añazco Campoverde
Institutions
- Universidad Tecnica de Machala (EC)
- University of Naples Federico II (IT)
- University of Pamplona (CO)
Publication Details
- Journal
- Journal of Posthumanism
- Published
- 2025-06-28
- DOI
- https://doi.org/10.63332/joph.v5i7.2736
- Primary Topic
- Engineering Diagnostics and Reliability
- Type
- article
- Field-Weighted Citation Impact
- 0.00