AI-powered predictive maintenance can be valuable for load forecasting and stress analysis. It can predict future load demand on assets, enabling operators to manage equipment like transformers ...

The algorithm was described in the study “Anomaly detection using K-Means and long-short term memory for predictive maintenance of large-scale solar (LSS) photovoltaic plant,” which was ...

Microsoft Azure Machine Learning is a cloud-based platform that offers a drag-and-drop interface and automated machine learning capabilities. This article was originally published in December 2023.

By using AI and IoT, manufacturers can now spot issues early, which stops downtime and keeps machines running longer.

Traditional vibration analysis falls short for slow-speed machinery. Augury’s AI-powered platform uses high-frequency ...

More recent technical advances, based on identical basic principles, are revolutionizing the field. Artificial intelligence, ...

“By using AI-driven maintenance algorithms, we can enhance security, improve efficiency, and optimize performance in ways that were previously unimaginable," says Venkata Bhardwaj Komaragiri.

Predictive maintenance requires analysis of historical data to assess if equipment is trending towards a failure. Griffin notes that machine learning (ML) algorithms are increasingly being used by ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...