News Roundup: Physics, Machines and Data – April 2020

We are always keeping an eye on news surrounding digital twins, machine learning, data analytics and more. This month our team has been discussing big ideas surrounding Industry 4.0 and what it takes to build a reliability-based maintenance system. Here are a few articles that we found especially interesting during the month of April. Digital […]

Working Smarter: What It Means for Industrial Plants

“Do more with less” – the age-old mantra of the industrial world – is even more urgent now with the pandemic straining plants to unprecedented limits. Financial resources are tight, supply chains are disrupted, uptime expectations remain high, and the challenge of recruiting and retaining skilled maintenance talent continues to grow. Though it is harder […]

Augmented Intelligence Webinar

Augmented Intelligence Webinar

Physics-driven Tignis software is helping companies around the world improve the reliability and efficiency of their connected mechanical systems. Our use of digital twins, modeling, machine learning (ML), and a physics engine provides earlier warning of degradation, higher quality alerts, fewer false positives, and faster issue identification and resolution. But in an era of Big […]

3 Steps to Optimizing System Reliability

As discussed in one of our recent posts , the sensors that you use to monitor your facilities can produce a lot of data you don’t really need. Sometimes less is more: You can be more efficient when you’re able to focus just on the data that is sensible and pertinent—even though it’s tempting to think […]