https://store-images.s-microsoft.com/image/apps.3601.057335ad-3a41-47cb-8cec-f4d1b973ddb4.bf54e27d-7af2-4cf1-884e-e97aed3c56a4.4677fa98-92da-4d79-b378-170df6ce0850

Predictive & Prescriptive Maintenance

Aspen Technology Inc

Predictive & Prescriptive Maintenance

Aspen Technology Inc

Get early and accurate warning of when and how an asset failure will occur and prevent it

Creating a World that Doesn't Break Down

Aspen Mtell is a condition monitoring solution using machine learning that stops machines breaking down, makes them last longer, reduces maintenance costs and results in net increases in production output on any processes where it is installed. The product executes very precise pattern recognition of changes in stream signals produced from sensors on and around the equipment being monitored. As a result, the technology detects extremely early onset of degradation through multivariate differences across all the streaming signals and also temporal distinctions; tiny changes in those signals offset by time. Properly conditioned machine learning algorithms can recognize various operating and failure modes as very precise patterns in the signals so that Aspen Mtell can recognize normal conditions, abnormal conditions and exactly match patterns that indicate degradation and impending failure well before they happen. The product predicts an accurate time-to-failure indicating precisely WHEN a known failure will occur, HOW the failure will occur and WHAT to do about it; derived from Prescriptive advice such as the exact Failure Code directly linked from the EAM system. Knowing the precise, multiple days’ or weeks’ lead time to a failure allows the end user to determine the exact action necessary (often through discussions between Operations, Maintenance, Technical and Planning/Scheduling Departments). Such Prescriptive action enables the best remediation and timing decisions to completely avoid damage, prevent a breakdown, and/or solve the problem in the most efficient manner. Aspen Mtell delivers the earliest, most accurate warning of equipment failures and prescribes detailed actions to mitigate or solve problems. Using machine learning, Aspen Mtell can recognize precise patterns in operating data that indicate degradation and impending failure—well before it happens.
Aspen Mtell Advantages: 
  • Prescriptive guidance 
  • Potential failure avoidance
  • Low-touch machine learning
  • Equipment- and process-agnostic
  • Earlier detection of equipment wear
  • More accurate failure detection with fewer false alarms
Most condition monitoring products tend to rely on simulations rather than true patterns based on historical data. As sensors capture information about operating conditions, these products don’t analyze that data to change the patterns they seek – on their own, these tools do not correctly identify the behavioral signatures of normal equipment operation and exact failure. Consequently, other products only speculate on time-to-failure because they lack Aspen Mtell’s inherent precision.  Contact us to learn more!
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https://store-images.s-microsoft.com/image/apps.50877.057335ad-3a41-47cb-8cec-f4d1b973ddb4.bf54e27d-7af2-4cf1-884e-e97aed3c56a4.e69fc7fd-e938-4b75-9749-3415cf429862
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https://store-images.s-microsoft.com/image/apps.25789.057335ad-3a41-47cb-8cec-f4d1b973ddb4.bf54e27d-7af2-4cf1-884e-e97aed3c56a4.554e319b-0ada-4f2f-a6a8-66cab846d8da
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https://store-images.s-microsoft.com/image/apps.36542.057335ad-3a41-47cb-8cec-f4d1b973ddb4.bf54e27d-7af2-4cf1-884e-e97aed3c56a4.7949a1c8-6f86-4138-9e63-d144b54224cc
https://store-images.s-microsoft.com/image/apps.37341.057335ad-3a41-47cb-8cec-f4d1b973ddb4.bf54e27d-7af2-4cf1-884e-e97aed3c56a4.10a25d2b-afc3-485f-b32f-e717e1df9da3