Case Studies Two Looming Failures Stopped Within Two Weeks of Monitoring

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	Two Looming Failures Stopped Within Two Weeks of Monitoring

Two Looming Failures Stopped Within Two Weeks of Monitoring

Technology Category	Analytics & Modeling - Machine Learning
Applicable Industries	Mining
Applicable Functions	Maintenance
Use Cases	Predictive Maintenance
Services	System Integration
Challenge	The mining company was seeking a step change in how to proactively handle reliability issues for critical equipment. Previous efforts with solutions like Smart Signal had not provided the benefits they were seeking. The company was interested in Aspen Mtell and visited an installation in Botswana to see it in action. They decided to conduct an online pilot which would provide a faster time to value. Read More
About Customer	The customer is a mining company that was looking for a step change in their approach to reliability at their facilities. They had tried other solutions like Smart Signal but had not seen the benefits they were seeking. The company was interested in Aspen Mtell and even visited an installation in Botswana to see it in action. They decided to conduct an online pilot with Aspen Mtell, using the data they were already collecting. Read More
Solution	The company decided to use Aspen Mtell, a machine learning solution, to detect historic asset failures. During the pilot, Aspen Mtell predicted two additional failures that would not have been caught by traditional monitoring methods. This allowed the customer to proactively plan for the maintenance and repairs, without exposure to higher downtime costs. The company continues to monitor the initial 12 assets with Aspen Mtell, confident that any alerts that occur warrant follow up. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Applicable Industries

Mining

Applicable Functions

Maintenance

Use Cases

Predictive Maintenance

Services

System Integration

Challenge

The mining company was seeking a step change in how to proactively handle reliability issues for critical equipment. Previous efforts with solutions like Smart Signal had not provided the benefits they were seeking. The company was interested in Aspen Mtell and visited an installation in Botswana to see it in action. They decided to conduct an online pilot which would provide a faster time to value.

About Customer

The customer is a mining company that was looking for a step change in their approach to reliability at their facilities. They had tried other solutions like Smart Signal but had not seen the benefits they were seeking. The company was interested in Aspen Mtell and even visited an installation in Botswana to see it in action. They decided to conduct an online pilot with Aspen Mtell, using the data they were already collecting.

Solution

The company decided to use Aspen Mtell, a machine learning solution, to detect historic asset failures. During the pilot, Aspen Mtell predicted two additional failures that would not have been caught by traditional monitoring methods. This allowed the customer to proactively plan for the maintenance and repairs, without exposure to higher downtime costs. The company continues to monitor the initial 12 assets with Aspen Mtell, confident that any alerts that occur warrant follow up.

Impact #1	Planned downtime of critical equipment saves money over unexpected outages
Impact #2	No need to install additional sensors or collect additional information prior to pilot thanks to Aspen Mtell’s overall process approach rather than asset specific focus.
Impact #3	The company continues to monitor the initial 12 assets with Aspen Mtell, confident that any alerts that occur warrant follow up.

Impact #1

Planned downtime of critical equipment saves money over unexpected outages

Impact #2

No need to install additional sensors or collect additional information prior to pilot thanks to Aspen Mtell’s overall process approach rather than asset specific focus.

Impact #3

The company continues to monitor the initial 12 assets with Aspen Mtell, confident that any alerts that occur warrant follow up.

Benefit #1	Detected 2 previously undetected equipment issues

Benefit #1

Detected 2 previously undetected equipment issues

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Overview

Two Looming Failures Stopped Within Two Weeks of Monitoring

Operational Impact

Quantitative Benefit