What question did this study set out to answer?

This research aims to analyze modern predictive maintenance approaches using artificial intelligence methods in production environments.

August 3, 2026Open Access

Predictive Maintenance of Production Equipment Using Artificial Intelligence Methods

View Full Paper

Ask AI

Bookmark

Authors

Randomized trial explores predictive maintenance effectiveness in industrial settings, indicating key factors for success.

This research aims to analyze modern predictive maintenance approaches using artificial intelligence methods in production environments.
Comprehensive analysis of predictive, preventive, and reactive maintenance strategies.
Review of machine learning algorithms including Random Forest, LSTM, GRU, and One-Class SVM.
Comparative analysis of predictive maintenance platforms and qualitative comparison of algorithms.
Found that successful predictive maintenance relies on quality data preparation and suitable algorithm selection.
Highlighted the importance of architecture in predictive maintenance systems.
Developed a generalized scheme demonstrating how predictive maintenance systems operate.

Невлюдов et al. (2026) studied this question.

View Full Paper

Ask AI

Bookmark