Aspen Technology, Inc.
AspenTech is a leading software supplier for optimizing asset performance. Our products thrive in complex, industrial environments where it is critical to optimize the asset design, operation and maintenance lifecycle. AspenTech uniquely combines decades of process modeling expertise with machine learning. Our purpose-built software platform automates knowledge work and builds sustainable competitive advantage by delivering high returns over the entire asset lifecycle. As a result, companies in capital-intensive industries can maximize uptime and push the limits of performance, running their assets faster, safer, longer and greener.
By using real machine learning with normal, abnormal, and failure signature agents, damage can be prevented. Looming issues can be seen weeks or even months earlier to allow for more time for investigation and planning with Aspen Mtell®. Not only that, Mtell can see things other solutions cannot to prevent process-induced damage. More importantly, Mtell attaches a failure to a specific root cause which guides operations and maintenance leaders directly to the fix. With the numerous moving parts within the continuous casting process, challenging and expensive equipment failures have occurred. The turret, oscillating mold, cooling chamber, induction stirrer, and numerous rollers must be working within specified parameters or serious problems could arise and severely impact earnings and possibly the safety of employees. Future occurrences can be avoided with early detection and detailed prescriptive analytics provided by machine learning.
Aspen Fidelis Reliability™ is a reliability, availability and maintainability tool built on a digital twin of the process at mines, mills and refineries. This solution is uniquely designed to model all equipment assets and process flows to effectively determine asset utilization, overall equipment effectiveness and other parameters that define operating conditions, reliability and costs of assets.
Aspen ProMV™ delivers multivariate analysis tailored to the unique needs of continuous and batch processing that is found in mines with flotation and recovery as well as metal refineries. As ore changes with each block or polygon extracted, flotation and recovery can be adapted based on the chemical composition of the slurry. Recovery can be enhanced by specific changes in stirrer tip speed, supply feed flow-rate, tailings flow-rate, and air supply that reduce process variability.