Extract evidence for condition-based maintenance from sensor and operating data.
Rare failures, incomplete fault labels and unknown relationships between sensors make conventional prediction difficult.
IAP examines relationships between sensor measurements, their development over time and control-unit responses. Semi-supervised methods can reveal structures even when confirmed faults are rare and some labels are incorrect.
You receive an assessment of the condition patterns studied and a prototype that flags unusual operating conditions. Evaluation considers false alarms and missed events, helping your maintenance team decide which alerts should trigger further investigation.
Read the technical detail ↓Expensive components fail infrequently, leaving few confirmed training examples. At the same time, reported faults can be unconfirmed and defective machines can continue running undetected. False-positive and false-negative labels complicate direct learning from fault annotations.
Temperature, voltage, vibration and other operating measurements form an interconnected system. The approach learns expected relationships and examines deviations. Fine-grained vibration patterns and larger changes in operation can complement one another, rather than treating individual thresholds in isolation.
Control-unit responses can provide evidence of particular component faults. Semi-supervised analysis and explicit treatment of weak labels support investigation when fault counts are small. Suitability is assessed by component, considering warning time, false alarms and missed failures.
Commissioned development · delivered solution
Train operating data was to provide indications of conditions relevant to maintenance. Changes caused by varying loads and operating conditions needed to be distinguished from possible component faults.
Project details →Option 1
IAP investigates the problem, develops and evaluates the approach, and hands over the agreed prototype with documentation. Your IT team takes responsibility for further product development and operation.
Option 2
IAP develops the agreed application, including its interface and integrations, connects it to the intended workflow, and completes acceptance and handover. Your organisation or operating partner takes responsibility for subsequent operation.
In a free, non-binding 20-minute introductory discussion, we clarify your objective, starting point and a useful next step.
