This webinar is Part 2 of the Artificial Intelligence in Industrial Automation and Machinery series.
Predictive maintenance has emerged as one of the most important applications driving the digital transformation. However, many organizations are struggling to develop predictive maintenance services. According to many studies, this is most often due to lack of required skills or concerns about data quality.
In this webinar, we will use machine/deep learning techniques in MATLAB to tackle various challenges related to predictive maintenance and anomaly detection. Using data from a real-world example, we will explore importing and pre-processing data, identifying condition indicators, and training predictive models.
In addition to live demonstrations from MathWorks, Danfoss High-Pressure Pumps will share how they got started with condition monitoring using MATLAB, enabling them to improve the reliability of their pumps and build new data-driven services.