Machine Learning: Utilizing Data Science in Reliability Engineering

What Is Machine Learning?

Machine learning describes the capability of advanced software to recognize patterns, and then learn from those patterns. With machine learning, software can essentially “learn” from experience, without being explicitly programmed.

Machine learning software is able to look at all kinds of data, compare existing conditions to past conditions, and learn learns when things are normal, versus when they are abnormal. These capabilities mean that, as time goes by and various things are experienced, machine learning software will analyze parameters to recognize and predict events in the future.

Machine Learning in the Industrial Setting

Machine learning is now being applied to the industrial setting to manage the reliability of assets, as machine learning provides the capability to potentially warn of a damage mechanism before it occurs, which enables you to actually prevent the failure from happening.