Predictive Maintenance: Predictive Failure Model to Identify Equipment Failure
JKA was charged with developing a Predictive Failure model to identify equipment failure within a five-day window. Once implemented, the model enabled the organization to schedule maintenance prior to a machine failure. The JKA team successfully met the client’s objective of minimizing machine downtime and expensive emergency repairs. Using sensor data across different models and locations, the model was able to predict machine failures with an 80%+ accuracy level.