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Processing Magazine: Why Time's Up on Preventive Maintenance

In this article, Robert Golightly explains the limitations of traditional maintenance practices and how new advancements in predictive maintenance are pushing assets and equipment to the limits of performance. Learn how today's industry leaders are using low-touch machine learning to extract value from design and operations data to predict when and where failures will occur.

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Industrial Data is a Goldmine Building a Sustainable System of Success

To achieve operational excellence, process manufacturers must quickly and systematically address the root causes of asset reliability problems, which include inadequate operating procedures, poor design, and improper scheduling of production.

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Strategies to Manage Asset Performance

To achieve operational excellence, process manufacturers must quickly and systematically address the root causes of asset reliability problems, which include inadequate operating procedures, poor design, and improper scheduling of production.

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The Northern Miner - AspenTech Reduces Downtime for Mining Equipment

In today’s market, thriving in the mining industry means exploring new strategies for growth in the digital transformation era. Mining executives are seeking leading experts to help mitigate risk and lower cost. The Northern Miner recently sat down with AspenTech to discuss best practices of how a true machine learning solution has the power to transform mining.

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HP Article: When Digital Transformation Hits all Four Sustainability Buckets

Sustainability is emerging as a critical business topic, as companies focus resources toward lowering emissions, waste and energy use in their production process. In this article, Paige Morse, Chemicals Industry Marketing Director, shares how sustainability affects four key areas within a processing plant and how digital transformation supports sustainability efforts through efficiency improvements.

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Digitally Enabled Reliability: Beyond Predictive Maintenance in Mining

Real-time condition-based monitoring of assets is an attractive solution for mining companies to minimize their unscheduled downtime and improve reliability of critical equipment. The success of an asset monitoring program depends on how well this data is analyzed, filtered and categorized to enable accurate predictions of impending failures. Focusing on the behavior of an asset only tells a small portion of the story. To fully predict failures, the trends of the entire process must be considered as a whole.

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When Lightning Strikes Twice

After an electrical storm stopped gas production at one of its plants, SABIC executives and reliability engineers turned to Aspen Fidelis Reliability to calculate the probability of it—or a similarly debilitating event—happening again. Read this article from Plant Services to learn more.

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