Case Study
Aspen Mtell® Machine Learning Finds Cause of Compressor Failures at LNG Facility
Read how this LNG facility used Aspen Mtell prescriptive maintenance to provide up to 61 days advance notice of catastrophic compressor failures, preventing an economic loss of more than $40M USD per occurrence. Quick to implement and readily scalable, the solution provided key insights into the root cause of the failures.
Blog
The Power of Analyzing Big Data
Dr. John MacGregor, the founder and chairman of ProSensus, reflects on 50-plus years of data analysis and highlights the Aspen ProMV capabilities that can help companies improve performance.
Blog
Is Good Enough, Good Enough?
A step change in quality or processing time of your final products could be a process change away, but what do you try first? How do you know if this is even an option?
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