Predictive Maintenance and Condition Monitoring
Edge AI predictive maintenance and condition monitoring for industrial IoT applications
Predictive Maintenance and Condition Monitoring
Edge AI predictive maintenance and condition monitoring for industrial IoT applications
Optimise operations and reduce downtime with Farnell’s embedded AI platforms, AI development kits, reference designs, single-board computers, sensors, and AI components for condition monitoring and predictive maintenance. Our solutions leverage machine learning, anomaly detection, edge AI analytics, and real-time data processing across manufacturing, energy, industrial, and smart IoT applications.
Farnell provides development boards, pre-integrated AI sensors, reference designs, and components to accelerate the creation of intelligent monitoring systems. Whether you’re building predictive maintenance solutions, industrial IoT monitoring, or energy management systems, our embedded AI kits and platforms help developers deploy scalable, high-performance, data-driven applications that improve operational efficiency, reliability, and overall system intelligence.
AI-enabled sensors and embedded platforms to track temperature, humidity, vibration, and air quality in real time.
Machine learning algorithms to detect unusual patterns in equipment performance, preventing failures and reducing downtime.
AI-driven analytics for root cause analysis, system health insights, and improved maintenance decision-making.
Embedded AI platforms forecasting equipment performance to schedule maintenance and maximise operational uptime.
Real-time vibration monitoring with AI and edge platforms to detect early signs of mechanical wear and failure.
AI-powered energy tracking and analytics for industrial systems, IoT devices, and sustainable operational efficiency.