Fault detection and diagnosis for printed circuit boards

摘要

A method for detecting an diagnosing faults in printed circuit boards. Emissivity data and thermal image data of the various components of the board are obtained. The emissivity data is used to correct the thermal image data. The corrected data is converted to device space data, which is then input to a previously trained neural network. The output of the neural network indicates the location of the fault. The method includes an improved method for obtaining an emissivity map and a method for providing suitable neural network input.