Anomaly Detection with Machine Learning for Failure Prediction in Bearings
Discover how to implement Machine Learning models for early detection of anomalies in industrial bearings, improving plant availability and reducing maintenance costs.
AI & Smart MRO
How artificial intelligence, machine learning, and IoT are transforming maintenance, reliability, and spare parts management in modern manufacturing.
Maintenance planning with reinforcement learning: Optimizing maintenance in the DACH industry
Find out how reinforcement learning is revolutionizing maintenance planning in the DACH industry, reducing downtime costs and minimizing machine wear through data-based decisions.
Natural Language Processing in Classifying Maintenance Calls
Discover how Natural Language Processing (NLP) automates the triage of maintenance calls, reducing MTTR and optimizing the flow of MRO parts in Brazilian industries.
Anomaly Detection with Machine Learning for Failure Prediction in Industrial Bearings
Technical guide on the application of Machine Learning and anomaly detection to predict failures in industrial bearings, optimize plant availability and reduce maintenance costs.
AI-Powered Fast Search for Equivalent MRO Spare Parts: Perspectives and Practicality
AI-powered MRO enables quick finding of equivalent parts, reducing downtime costs. UNITEC-D E-Catalog ensures the reliability and quality of parts compliant with ISO, EN and…
Energy Optimization with AI: Smart Solutions for Compressor Systems and HVAC
AI optimizes energy consumption in compressor and HVAC systems, reducing consumption by 22% and improving sustainability. UNITEC-D E-Catalog offers certified components and solutions for effective…
Smart Sensors and Predictive Maintenance in Aerospace and Energy
Technical analysis of the use of intelligent sensors with embedded AI for predictive maintenance in aerospace and energy, with performance metrics and normative requirements.
Digital Twin and AI: Preventive Simulation of Component Wear in the DACH Industry
Learn how the Digital Twin combined with AI precisely predicts machine wear in the DACH industry and reduces maintenance costs.
Artificial Intelligence-Based Energy Optimization for Compressed Air and HVAC Systems
Discover how artificial intelligence optimizes energy consumption in compressed air and industrial HVAC systems, reducing costs by up to 25% with quick payback.
Anomaly Detection with Machine Learning to Predict Bearing Failures
Learn how to apply machine learning to detect industrial bearing anomalies. Discover data requirements, OT/IT architecture and ROI metrics for predictive maintenance in the industry.
Predictive Inventory Optimization MRO: Balancing Cost and Availability with Artificial Intelligence
1. Introduction: The Inventory Dilemma in Industrial Spare Parts In the machine tool construction sector in Italy, the management of the MRO spare parts and…
Optimization of MRO inventory by artificial intelligence : balancing carrying costs and availability of critical equipment
Discover how artificial intelligence optimizes MRO inventory in aerospace and energy, reducing working capital by 22% while ensuring the availability of critical equipment.