Provides predictive capability to forecast failure and determine remaining useful life. Current prescriptive rule based solutions are unable to maximize equipment capacity. Preventive Maintenance ML uses Google Cloud BigQuery, Kubeflow and CMLE as key solution components.
This AI solution focuses on identifying patterns in both sensor and yield data that indicate changes in equipment condition. It leverages machine learning and predictive analytics to determine the remaining value of assets and accurately determine when a manufacturing plant, machine, component or part is likely to fail, and thus needs to be replaced.