AI Fault Diagnosis for Electronic Products

Client profile

A multinational scientific instruments company. The client needed intelligent fault diagnosis for electronic products, together with recommended solutions.

Our solution

AI and machine learning organise product manuals, repair histories, service work orders and expert knowledge into searchable knowledge tags. These tags link back to the original cases through a graph knowledge base.

When a user describes a fault, a large language model searches the graph, analyses relevant information and performs a quantitative assessment.

The output includes:

• Fault-probability analysis.
• Spare-parts recommendations.
• Spare-parts forecasts.