Scientists from Malaysia and Thailand have developed a novel machine-learning model for predicting the maintenance needs of large-scale solar PV plants. According to a recently published scientific ...

Renewable energy is an essential part of striving for sustainable operations across industries. Predictive maintenance is one tool that helps build a reliable renewable energy infrastructure. With the ...

In his research, Komaragiri has leveraged machine learning models and neural networks for developing predictive maintenance frameworks that can identify anomalies, analyze data in real-time, and ...

The waste collection industry generated $69 billion in revenue in 2024, accounting for over two-thirds of the total US waste and recycling revenue. Logistics is the cornerstone of this industry, given ...

Intelligent predictive maintenance platforms exemplify this approach by integrating telemetry data and machine learning algorithms to predict the serviceable lifetime of critical components. “Imagine ...

Traditional vibration analysis falls short for slow-speed machinery. Augury’s AI-powered platform uses high-frequency ultrasound to deliver real-time diagnostics and predictive insights for low-RPM ...

Learn how smart sensors are transforming manufacturing by enabling predictive maintenance, improving diagnostics and enhancing operational efficiency. Discover strategies to overcome compatibility ...