Neighbor abnormal detection system of gas turbine
A gas turbine and anomaly detection technology, which is applied in gas turbine engine testing, jet engine testing, computer components, etc., can solve problems such as simple and limited fault monitoring level, excessively large amount of information, and insufficient early warning technology
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[0030] Referring to the figures, a gas turbine neighbor anomaly detection system includes a data interface module, a feature extraction module, a similarity measurement module, a density measurement module, an anomaly factor module and an anomaly evaluation module.
[0031] The detection method steps of this detection system are as follows:
[0032] Step 1. Obtain monitoring data and input parameters through the data interface module
[0033] Obtain G monitoring data at different times from the monitoring software of the gas turbine, and use P below k Indicates the first The monitoring value at a moment, where 1≤k≤G; and input parameters: the number of neighborhood objects , abnormal reference ratio β;
[0034] Step 2. Extract the feature quantities that characterize the characteristics of different moments through the feature extraction module
[0035] Select feature quantities from monitoring data , where 1≤ ≤29, which corresponds to the values of the following 29 ...
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