Fault diagnosis model based on multi-manifold learning and PSO-SVM for machinery

作者：Wang Hongjun; Xu Xiaoli; Rosen B G

来源：Chinese Journal of Scientific Instrument, 2014, 35: 92-96.

• Fault diagnosis model
• Fault diagnosis technology
• Model-based OPC
• Multi-manifold learning
• Pso-svm
• Rolling bearings
• Sensitive features

Fault diagnosis technology plays an important role in the industries due to the emergency fault of a machine could bring the heavy lost for the people and the company. A fault diagnosis model based on multi-manifold learning and particle swarm optimization support vector machine (PSO-SVM) is studied. This fault diagnosis model is used for a rolling bearing experimental of three kinds faults. The results are verified that this model based on multi-manifold learning and PSO-SVM is good at the fault sensitive features acquisition with effective accuracy.

• 出版日期2014