The mechanical seal of process condensate pump is prone to occurs instability fault influenced by environment and self-mechanical disturbance,so it established a failure detection method based on spectral characterization analysis;the big data sensing information perception method is adopted for sampling the original failure sample information;the signal fitting of the collected data is done to perform multi-scale decomposition;the difference of the decomposed spectral characteristics distribution is used for fault identification;the failure automatic detection and adaptive learning training is realized by artificial neural network learning algorithms.The comparison and analysis results show,by using the method,the detection probability increases 8％,it has better fault identification and feature analysis capabilities.
关键词
工艺凝液泵/机械/密封/故障/自动检测/特征提取
Key words
process condensate pump/machinery/sealing/failure/automatic detection/feature extraction
维普
万方数据