Plant Services Special Report: How Machine Learning is Revolutionizing FMEA
A revamp is underway of a widely revered strategy to avoid or mitigate industrial equipment failures. The failure modes and effects analysis (FMEA) is a core Six Sigma tool for improving processes and products. Recent technology advancements are breathing new life into this longtime, largely unchanged best practice.
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Leverage Existing Data to Improve Mining Operations
The mining value chain is complex as companies struggle to safely collect and analyze data across a growing network of devices, personnel and equipment. The faster you can gain insights from this data, the better your operation will run.
The Self-Optimizing Plant
In today’s VUCA environment, organizations are turning to digitalization and Industrial AI to develop autonomous and semi-autonomous processes that enable new levels of safety, sustainability and profitability. Learn how Self-Optimizing Plants will enable companies: to empower next-generation workers to focus on the highest-value activities; improve safety and reliability with predictive maintenance to mitigate future events; maximize performance of plant operations by running closer to asset limits and optimizing utilization; and achieve sustainability goals by reducing energy use and avoiding conditions that cause emissions.
Improve Decision Agility with Aspen Mtell® and Aspen Fidelis™
Machine learning technology can now predict equipment failures weeks in advance. But how do you decide when and how to perform the repair to maximize productivity and minimize risk? In this video, learn how Aspen Mtell and Aspen Fidelis enable you to quickly evaluate hundreds of possible future scenarios, and understand the financial consequences and risk involved in different operational decisions.
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