Predictive Maintenance Adoption: Overcoming Common Data Quality Issues

Predictive maintenance more efficiently determines potential points of failure in an unexpected outage, detects incipient failure before it causes downtime, and maximizes the remaining useful life of machine components. But with so many factors to consider, preventing downtime becomes an elusive goal.

At a high level, data quality issues often prevent organizations in the manufacturing industry from adopting and succeeding with predictive maintenance. But, by combining data best practices with the right application of machine learning, you can overcome the data quality problem and benefit from the superior predictive approach to maintenance.

Source: https://www.iotforall.com/white-paper/predictive-maintenance-adoption-overcoming-common-data-quality-issues