Fault diagnosis of rolling element bearings with model-based constrained independent component analysis

作者：Wang, Zhi Yang; Du, Wen Liao; Chen, Jin

来源：Journal of Vibration and Shock, 2015, 34(8): 66-70.

DOI：10.13465/j.cnki.jvs.2015.08.012

• Constrained independent component analysis
• Constrained independent component analysis (cICA)
• ICA algorithms
• Independent component analyses (ICA)
• Machine fault diagnosis
• Model-based OPC
• Prior knowledge
• Rolling Element Bearing

The order ambiguity of independent component analysis (ICA) makes it very difficult to estimate numbers of sources and sensors. Constrained independent component analysis (CICA) can use some prior knowledge of equipments as a constraint of ICA to make the ICA algorithm converge to fault signals to be interested. Here, a model-based constrained independent component analysis method for fault diagnosis of rolling element bearings was presented. Its effectiveness was verified with simulations and tests.

• 出版日期2015
• 单位郑州大学; 上海交通大学