Analog circuit fault diagnosis based on particle swarm optimization support vector machine

作者：Zuo Lei^*; Hou Li Gang; Zhang Wang; Wang Jin Hui; Wu Wu Chen

来源：Systems Engineering and Electronics, 2010, 32(7): 1553-1556.

DOI：10.3969/j.issn.1001-506X.2010.07.047

• Analog IC
• Circuit faults
• Extracting features
• Fault diagnosis
• Fault diagnosis method
• Fault diagnosis systems
• Least squares support vector machines
• Particle swarm
• Simulation result
• Wavelet package

In order to solve the problem of fault diagnosis method for analog IC diagnosis based on neural network, the method based on particle swarm optimization (PSO) and least squares support vector machine (LSSVM) is proposed. Wavelet package is used as a tool for extracting feature. Then, after training the LSSVM by PSO, the model of the circuit with fault diagnosis system is built. Simulation results show that the method is more effective.

• 出版日期2010
• 单位北京大学