Method for detecting abnormality of high-speed incremental aircraft engine
An aero-engine, anomaly detection technology, applied in the intersection of mechanical engineering and information science, can solve the problems of inconsistent data length, low efficiency, poor effect, etc., to achieve fast and effective detection and make up for low efficiency.
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[0016] The present invention will be further described below with reference to the accompanying drawings and related algorithms.
[0017] The overall flow of the present invention is as follows figure 1 shown.
[0018] The invention utilizes the aero-engine performance parameter data for abnormal detection, and uses the exponential smoothing method to process the aero-engine performance parameters after removing outliers. The performance parameters are characterized using a variance-based adaptive segmentation algorithm for the processed data. A dynamic time warping algorithm based on adaptive line segment is used to measure the similarity of sequences, and a density-based clustering algorithm is used to establish a performance parameter pattern mining model, thereby mining a performance parameter pattern library. The newly added incremental data is matched with the pattern library to obtain anomaly detection results. The specific implementation steps are as follows:
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