The real-time condition of electronic equipment can be reflected by multiple sensors.A clustering method to achieve the fault diagnosis of electronic equipments whose status information is extracted from multiple sensors is discussed.The way that uses fuzzy clustering for dealing with the observed data to carry out the fault diagnosis is presented to reason the failure mode.The fuzzy clustering method is applied to fault diagnosis of electronic equipment successfully,and it proves effectively.The method doesn't depend on the mathematical model of diagnosis system to perform a self-adaptive diagnosis.The intellectualization and automation of the fault diagnosis were implemented.

The fuzzy clustering method effectively identifies faults in electronic equipment using multiple sensors, enabling self-adaptive diagnosis and intellectualization.

Fault Diagnosis Method Based on Fuzzy Clustering

Key Takeaway: The fuzzy clustering method effectively identifies faults in electronic equipment using multiple sensors, enabling self-adaptive diagnosis and intellectualization.