When the same asset breaks down month after month, most teams keep closing the work order and moving on, treating each event as a separate incident instead of a repeating pattern. A root cause graph links those repeat breakdowns together — connecting symptoms, contributing assets, and shared causes — so the team can see the structural problem instead of chasing the same symptom indefinitely. Sign Up Free to start mapping your repeat breakdowns automatically, or Book a Demo to see how Oxmaint links recurring failures across your asset history, and Book a Demo if you'd rather walk through a real example from your own plant first.
Reliability Analytics · Root Cause Mapping · 2026
Stop Closing the Same Work Order Every Month
Oxmaint connects repeat breakdowns into a root cause graph, turning your maintenance history into a map of the structural issues driving failure.
62%Less unplanned downtime when recurring failures are mapped to root cause
94%AI prediction accuracy on assets with linked failure history
3xFaster identification of structural causes vs. isolated symptom review
1000+Maintenance teams using connected reliability data in Oxmaint
What a Root Cause Graph Connects
Recurring Symptom
Node: Observed fault
LinkEach work order's symptom is tagged and linked to prior occurrences on the same or related assets.
Shared Cause
Node: Root mechanism
ClusterFailures with a common underlying mechanism cluster together, even if symptoms looked different at first.
Upstream Asset
Node: Connected equipment
DependencyReveals when a failure on one asset is actually being driven by an upstream component or system.
Health Score Trend
Node: Asset condition
SignalDeclining health scores leading up to each breakdown are layered into the graph as supporting evidence.
Repair History
Node: Closed work orders
EvidenceEvery past repair attempt is part of the graph, showing which fixes worked and which only masked the problem.
Recurrence Frequency
Node: Occurrence rate
PriorityHow often the pattern repeats, ranking which root causes deserve engineering attention first.
Building this picture manually means pulling spreadsheets from years of closed tickets, which is why most teams never get past symptom chasing. Sign Up Free and Oxmaint builds the graph automatically from your work order history, asset health scores, and predictive sensor data — surfacing the structural cause behind a pattern instead of just the latest symptom. Book a Demo to see how a recurring fault on your floor maps back to its root cause in minutes, not weeks, or Sign Up Free to map your own asset history today.
Symptom Chasing vs. Root Cause Mapping
Move From Symptom Chasing to Structural Fixes.
Oxmaint connects your repeat breakdowns automatically, so engineering can fix the cause instead of the latest symptom.
Frequently Asked Questions
What is a root cause graph in maintenance?
It's a connected map linking repeated breakdowns, shared causes, and related assets, so teams can identify structural issues instead of treating each failure as isolated.
How does Oxmaint build these connections automatically?
Work order history, asset health scores, and predictive sensor data are analyzed together, linking failures that share a common cause even across different assets.
Can this catch problems caused by upstream equipment?
Yes — asset relationships are part of the graph, so a downstream failure can be traced back to an upstream component or system driving it.
Does this connect to predictive maintenance scheduling?
Yes — recurrence frequency from the graph helps prioritize which assets get sensor monitoring and proactive work orders first.
Find the Pattern Behind Your Repeat Breakdowns.
Oxmaint builds your root cause graph automatically from work order and asset health history. Free to start.
