One example he mentioned in our meeting is Xilinx’s work with system integrator Aingura IIoT for a project at CNC machine builder Etxe-Tar in Elgoibar, Spain. The aim of this partnership between ...

New Machine Learning Tool for Predictive Maintenance. ... AI Servo Monitor, in conjunction with MT-LINKi through machine learning, analyzes the daily performance of machines equipped with FANUC CNCs.

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

NEEDHAM, Mass., Oct. 8, 2019 /PRNewswire-PRWeb/ -- The Industrial Internet Consortium® (IIC™) today announced that its Smart Factory Machine Learning for Predictive Maintenance Testbed has ...

Utilities are cautiously embracing AI for predictive maintenance and fieldwork support as data centers and climate change ...

Predictive maintenance can diagnose and troubleshoot machine and device problems before they happen so you can take steps to prevent them. ... Create machine-learning algorithms.

Within predictive maintenance, there are two basic applications of ML—anomaly detection and classification. Anomaly detection is based on unsupervised machine learning (doesn’t rely on humans to ...

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 ...

Predictive maintenance differs from preventive maintenance because it usually applies machine learning to understand current conditions and extrapolate, with increasing accuracy, when maintenance ...