关键词: 预测性维护, 寿命预测, 机器学习, 人工神经网络, 支持向量机, 聚类算法, 随机森林

Abstract:

Machine learning algorithms can process high-dimensional and multi-variable data, and extract hidden relationships in the data in complex and dynamic environments, and have good application prospects in predictive maintenance technology. However, the performance of predictive maintenance system depends on the choice of machine learning algorithms. This paper reviews the current machine learning algorithms used in predictive maintenance system, compares the advantages and disadvantages of several machine learning algorithms characteristic in detail. The application of the machine learning in predictive maintenance is prospected in the future.

Key words: predictive maintenance, life prediction, machine learning, artificial neural network, support vector machine, cluster analysis, random forest