Root Cause Analysis
Being able to predict faults and degradations ahead of time and accurately solves the foremost problem in predictive maintenance. The next step before predictive maintenance can be operationalized is also to predict the root cause of the predicted event. Root cause prediction involves stitching up the context of the event using operational characteristics of the assets as well as connectivity with its surrounding neighbours.
Based on field experiences across multiple industries and using our innovations on deriving causal relationships automatically, we are able to automate root cause prediction and to refine it continually based on learnings from field actions.