Driven by increased adoption of Industry 4.0 technologies, specifically AI, manufacturers still rank predictive maintenance use cases at the top of their priority lists. Yet despite strong interest ...

The feeling that success stories in predictive maintenance do not surface, or that there are few projects that can truly be ...

Predictive maintenance was supposed to end surprise breakdowns. In many factories this year, it's left maintenance crews ...

Predictive maintenance (PdM) is transforming power plant operations by leveraging artificial intelligence (AI), data analytics, and automation to prevent costly equipment failures. Learn about ...

I-care Group is adding an AI system designed to detect equipment anomalies without relying ...

In the age of IoT, more assets are being connected to digital platforms to maximize their performance and life span. One crucial way this is helping businesses save money is through enabling the ...

Predictive maintenance provides operators with a reliable estimate of when maintenance will be needed on an industrial asset. The 5 steps of predictive maintenance start with data acquisition. Then, ...

The global predictive maintenance market is projected to grow from USD 9.71 billion in 2026 to USD 16.74 billion by 2031, at an 11.5% CAGR. Growth is driven by industrial IoT, AI, machine learning, ...

We want to introduce predictive maintenance (PdM) in our company, but we don't know where to start.' 'When I consulted a vendor, they immediately proposed a multi-million yen AI system, and I was put ...

The success of a manufacturer’s digital transformation relies on a comprehensive approach that integrates technology, data and people. By prioritizing these elements, manufacturers can establish a ...

The new sensing equipment will provide manufacturers with a heads-up if rotating equipment requires maintenance.

Maintenance officials from Korean Air and its group affiliates — Jinair, Air Busan and Air Seoul — gathered ahead of the ...