Data analysis and Predictive Maintenance with MATLAB and Simulink
NECSTMondayTalk
Marco Rossi
Edu Customer Success Engineer, The MathWorks
this event will be online via Facebook
November 2nd, 2020
12.00 pm
Contacts:
Marco Santambrogio
Marco Rossi
Edu Customer Success Engineer, The MathWorks
this event will be online via Facebook
November 2nd, 2020
12.00 pm
Contacts:
Marco Santambrogio
Sommario
On November 2nd, 2020 at 12.00 pm will be held on line a new Necst Monday Talk on "Data analysis and Predictive Maintenance with MATLAB and Simulink".
Predictive Maintenance lets you estimate the optimum time to do maintenance by predicting time to failure of a machine. It also pinpoints problems in your machinery and helps you identify the parts that need to be fixed. This way, you can minimize downtime, maximize equipment lifetime and have an overall cost reduction in comparison with other
strategies, such as reactive and scheduled maintenance. In this webinar, you will learn the general workflow of predictive maintenance models, to get a general understanding of the key aspects and the critical points aimed at obtaining accurate and robust algorithms. This workflow will be employed to a real case study: a flow pack machine. Using sensors and synthetic data, we will explore importing, pre-processing, and labeling data, as well as selecting features, (aka healthy/faulty condition indicators), aimed at training and comparing multiple machine learning models. MATLAB and Simulink offer you an integrated platform to design your digital twin and implement your machine learning algorithms. The MATLAB environment provides dedicated capabilities to help the user to face Predictive Maintenance through a systematic approach, as well as a quick and easy interactive experience.
This appointment will take via Facebook at https://www.facebook.com/NECSTLab
or at NECSTLab Meeting Room (max four people upon registration at:
https://tinyurl.com/necstmondaytalk2021)
The NECSTLab is a DEIB laboratory, with different research lines on advanced topics in computing systems: from architectural characteristics, to hardware-software codesign methodologies, to security and dependability issues of complex system architectures.
Every week, the “NECST Monday Talk” invites researchers, professionals or entrepreneurs to share their work experiences and projects they are implementing in the “Computing Systems”.
Predictive Maintenance lets you estimate the optimum time to do maintenance by predicting time to failure of a machine. It also pinpoints problems in your machinery and helps you identify the parts that need to be fixed. This way, you can minimize downtime, maximize equipment lifetime and have an overall cost reduction in comparison with other
strategies, such as reactive and scheduled maintenance. In this webinar, you will learn the general workflow of predictive maintenance models, to get a general understanding of the key aspects and the critical points aimed at obtaining accurate and robust algorithms. This workflow will be employed to a real case study: a flow pack machine. Using sensors and synthetic data, we will explore importing, pre-processing, and labeling data, as well as selecting features, (aka healthy/faulty condition indicators), aimed at training and comparing multiple machine learning models. MATLAB and Simulink offer you an integrated platform to design your digital twin and implement your machine learning algorithms. The MATLAB environment provides dedicated capabilities to help the user to face Predictive Maintenance through a systematic approach, as well as a quick and easy interactive experience.
This appointment will take via Facebook at https://www.facebook.com/NECSTLab
or at NECSTLab Meeting Room (max four people upon registration at:
https://tinyurl.com/necstmondaytalk2021)
The NECSTLab is a DEIB laboratory, with different research lines on advanced topics in computing systems: from architectural characteristics, to hardware-software codesign methodologies, to security and dependability issues of complex system architectures.
Every week, the “NECST Monday Talk” invites researchers, professionals or entrepreneurs to share their work experiences and projects they are implementing in the “Computing Systems”.