TL;DR Continuous vibration monitoring identifies failures earlier than many traditional methods. Workforce shortages are accelerating adoption of permanent monitoring solutions. Criticality assessments help teams prioritize the right assets first. Industrial AI...
TL;DR Traditional route-based maintenance is becoming harder to sustain due to workforce shortages. Predictive maintenance requires actionable workflows, not just more data. Machinery health software helps turn condition data into operational decisions. Industrial AI...
TL;DR Industrial organizations have more data than ever, but much of it remains siloed. AI requires contextualized, accessible data to deliver meaningful value. Edge architectures provide low-latency access to high-fidelity operational data. Local LLMs improve...
Plants often operate with measurement gaps that limit visibility into critical processes and assets. Organizations cannot improve what they do not measure, making accurate and accessible process data a foundational requirement for operational improvement.
TL;DR Sustainability initiatives require efficient use of limited resources. Automation enables measurable improvements in energy use and emissions. Monitoring WAGES systems is key to identifying waste. Modern control and reliability tools reduce inefficiencies and...
Why this matters now A strong reliability program has long been tied directly to improved production, safety, and operational performance. Today’s sensing technologies deliver unprecedented visibility into asset health, enabling teams to keep critical equipment...
Why this matters now Mining has always been a challenging industry. Mine sites are inherently dirty operations and are often situated in very remote locations. As critical minerals become increasingly scarce, those conditions are exacerbated, as mining operations are...
Why this matters now Modern manufacturing organizations have invested heavily in sensing technologies and reliability software to improve visibility into plant operations. While these tools have delivered value, they have also introduced new challenges when deployed...
Typically, when we think of artificial intelligence (AI) tools, we think of software residing in the cloud. After all, AI models require massive compute power, and as they grow, that power needs to scale rapidly. Such support is a perfect fit for cloud computing....
The global experienced workforce shortage in process manufacturing comes as no surprise to anyone. Industry has been predicting an expertise cliff for years if not decades, and it’s finally here. But what people didn’t anticipate quite as clearly was the parallel...
Driving the reliability necessary to compete in the modern process manufacturing marketplace is more challenging than ever. Once upon a time, reliability teams could rely on expert personnel to regularly walk the plant and keep an eye and ear out for where machines...
Maximizing productivity and reducing waste is a never-ending challenge. Though manufacturers have been taking steps to accomplish these goals for decades, the intensity has risen in recent years as competition from global competitors has dramatically increased. There...
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Emerson Exchange 365
This blog features expert perspectives from Emerson's automation professionals on industry trends, technologies, and best practices. The information shared here is intended to inform and educate our global community of users and partners.