Case Study

Case Study: Chevron Employs APC Best Practices to Get Controllers Online Faster After Unit Turnarounds

Discover how Chevron overcame the challenge of rapidly returning APC controllers to service after unit turnarounds. Using aspenONE APC applications, Chevron reduced the effort required to maintain controller models. In addition to this, Chevron saved thousands of dollars for each day the controller would have been offline.

Vertical Integration

Reduce batch cycle time, production errors, and operating costs

Video

Aspen Mtell for Metals & Mining: What is an Agent?

Aspen Mtell is a prescriptive maintenance solution that uses Agents to recognize asset failures earlier and with greater accuracy. View this video to learn what an Agent is, what they do, how they are created and how they work—to safeguard equipment, people and the environment.

Blog

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Report

ARC Strategies Report: Rethinking Asset Performance Management

A recent ARC Advisory Group survey of 365 industry practitioners revealed that two-thirds of respondents believe reliability-centered maintenance (RCM) isn’t improving reliability, and that operations has as much impact on plant asset performance as the maintenance organization.

Adaptive Process Control

Maintain and expand APC benefit improvements with patented technology that automatically adapts and optimizes to ever-changing plant conditions.

Video

Introduction to Aspen Mtell

Learn how Aspen Mtell prescriptive maintenance uses Autonomous Agents to predict equipment failures, detect deviations from normal behavior and prescribe detailed actions to mitigate or solve future problems.

Video

Transfer Learning with Aspen Mtell

Understand how Aspen Mtell’s Autonomous Agents share failure signatures across similar assets, enabling rapid time to value.

Executive Brief

Executive Brief: The Time is Right for Optimum Reliability

Imagine a plant that is no longer at risk of a random shutdown. Imagine not worrying about losing a year’s worth of hard-fought optimization value in just two to three days due to a maintenance emergency. Through the science of maintenance, historical and real-time operational data combine to predict when a breakdown will occur with months — not just days — of advance notice.

Article

Progressive Railroading - The Next Wave of Technological Wonders

“Automation also can help identify issues before something critical fails. Finding problems as early as possible helps improve asset management,” says CSX Executive Vice President and Chief Operating Officer, Cindy Sanborn. Read this article to learn more about CSX’s exciting project with Mtell, which uses patented machine learning technologies with industrial assets to perform predictive maintenance which no longer runs parts to failure.

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