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以信息熵和时频分析为基础，提出了一种用于大型回转机组运行瞬时稳定性定量监测的新指标：平稳熵。通过对模拟数据和实际现场数据的分析表明，平稳熵很好地反映出了机组运行瞬时各频率处的稳定性大小，为机组的智能化监测和诊断提供了一种平稳性的量化数据。
Based on information entropy and time-frequency analysis, a new index for the quantitative monitoring of instantaneous stability of large-scale rotary machines is presented: stationary entropy. The analysis of the simulated data and the actual field data shows that the stationary entropy can well reflect the stability of each frequency at the moment of operation and provide a stable and quantitative data for the intelligent monitoring and diagnosis of the unit.