This course will help you prepare for the certification exam and the exam fee is waived with this course.
The Aspen Mtell application is a condition monitoring solution that uses automated Machine Learning to stop machines from breaking down, makes them last longer, reduces maintenance costs, and increases the net product output of any process.
In this training, learn how to implement the Aspen Mtell project. Understand System Architecture and Installation procedure, technical reviews for defining assets and sensor groups, setting up security and connecting to adapters, importing data, building Machine Learning Agent, setting up alerts, using Mtell View to monitor alerts. Practice automatic Agent tuning for the best accuracy and earliest detection of excursions from normal behavior, and the precise patterns that match degrading conditions that lead to failure.
This course includes the content from MPM111, MPM121, and MPM131 to give the total Mtell Solution experience.
The user will obtain a general familiarity with the components, connectivity, and configuration of a Mtell solution. The user will be able to contribute to the setup and maintenance of the solution.
Learn how to setup, train, and evaluate machine learning Agents. These are the tasks that users spend the most time on during a Mtell project. Select a completed agent and deploy it live for 24/7 monitoring of the asset.
Learn the most valuable skills in utilizing a Mtell solution – responding to an alert from the system. Evaluate alerts online and learn to manage them until they are closed. Utilize roles and workflows to get the right information to the right people and at the right time.
Aspen Technology, Inc. awards Continuing Education Units (CEUs) for training classes conducted by our organization. One CEU is granted for every 10 hours of class participation.