Abnormal alarm data detection method based on multivariate time series
A multivariate time series and abnormal alarm technology, which is applied to engine components, machines/engines, mechanical equipment, etc., can solve the problems of on-site operators' attention, missed alarms, and multiple alarms
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[0045] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0046] figure 1 It is a flow chart of the method for detecting abnormal data of an alarm system based on industrial historical data in the present invention.
[0047] Such as figure 1 Shown, a kind of alarm system abnormal data detection method based on industrial history data, comprises the following steps:
[0048] Step S1, extract the data of multiple related variables in the time t before the current working point from the historical data, establish a multivariate time series T', and standardize it into a time series T, and calculate the relationship between each variable under normal conditions sign direction;
[0049] Step S2, setting the minimum time interval δ, and searching for key turning points based on the multivariate time series T;
[0050] Step S3, optimizing the number of segments K based on the fitting error of the linear segment of...
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