| Citation: | ZHANG Wanxuan，XUE Wei，ZHANG Nan.Anomaly detection method of liquid rocket engine based on incremental isolation forest［J］.Journal of Aerospace Power，2022，37（8）：1674‑1682. doi: 10.13224/j.cnki.jasp.20220119
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In order to solve the problem of streaming data unsupervised detection of liquid rocket engine with the absence of fault label，and to enable adaptive detection of various engines and multiple working conditions，an anomaly detection algorithm of liquid rocket engine based on incremental isolation forest was proposed based on incremental learning.The online updating strategy and anomaly score expression for streaming data under various working condition were designed.And the update stop strategy was applied to avoid the pollution of fault on the model.Using a number of test data for analysis and comparison with traditional methods，the result showed that the algorithm can evaluate the anomaly degree of sample quantitatively，and detect the degree of fault effectively.The algorithm had 43% improvement on
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