A relevance vector machine (RVM) based fault diagnosis method was presented for non-linear circuits. In order to simplify RVM classifier, parameters selection based on particle swarm optimization (PSO) and preprocessi...A relevance vector machine (RVM) based fault diagnosis method was presented for non-linear circuits. In order to simplify RVM classifier, parameters selection based on particle swarm optimization (PSO) and preprocessing technique based on the kurtosis and entropy of signals were used. Firstly, sinusoidal inputs with different frequencies were applied to the circuit under test (CUT). Then, the resulting frequency responses were sampled to generate features. The frequency response was sampled to compute its kurtosis and entropy, which can show the information capacity of signal. By analyzing the output signals, the proposed method can detect and identify faulty components in circuits. The results indicate that the fault classes can be classified correctly for at least 99% of the test data in example circuit. And the proposed method can diagnose hard and soft faults.展开更多
介绍了PSpice（popular simulation program with integrated circuit emphasis）软件的电路仿真功能及其在电路原理、模拟电路和数字电路等课程教学及实验中的应用。结合教学中的具体实例,论证在大学工科电类专业教学中引入PSpice电路...介绍了PSpice（popular simulation program with integrated circuit emphasis）软件的电路仿真功能及其在电路原理、模拟电路和数字电路等课程教学及实验中的应用。结合教学中的具体实例,论证在大学工科电类专业教学中引入PSpice电路仿真软件的必要性和可行性。实践表明,通过将该软件引入教学过程后,极大地促进了学生对专业课程的学习兴趣,丰富了教学内容,收到了良好的教学效果。展开更多
基金Project(Z132012)supported by the Second Five Technology-based in Science and Industry Bureau of ChinaProject(YWF1103Q062)supported by the Fundemental Research Funds for the Central Universities in China
文摘A relevance vector machine (RVM) based fault diagnosis method was presented for non-linear circuits. In order to simplify RVM classifier, parameters selection based on particle swarm optimization (PSO) and preprocessing technique based on the kurtosis and entropy of signals were used. Firstly, sinusoidal inputs with different frequencies were applied to the circuit under test (CUT). Then, the resulting frequency responses were sampled to generate features. The frequency response was sampled to compute its kurtosis and entropy, which can show the information capacity of signal. By analyzing the output signals, the proposed method can detect and identify faulty components in circuits. The results indicate that the fault classes can be classified correctly for at least 99% of the test data in example circuit. And the proposed method can diagnose hard and soft faults.
文摘介绍了PSpice（popular simulation program with integrated circuit emphasis）软件的电路仿真功能及其在电路原理、模拟电路和数字电路等课程教学及实验中的应用。结合教学中的具体实例,论证在大学工科电类专业教学中引入PSpice电路仿真软件的必要性和可行性。实践表明,通过将该软件引入教学过程后,极大地促进了学生对专业课程的学习兴趣,丰富了教学内容,收到了良好的教学效果。
