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Online anomaly detection of analog signals plays an important role in equipment fault diagnosis and predictive maintenance. However, the signal often deviates slightly from those seen previously in the early stage of equipment failure, and the anomaly is invisible to the human eye. This kind of anomaly belongs to the typical contextual anomaly. Whe...
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With the rapid development of digital operation and maintenance of transformers, the interference of abnormal data caused by the low reliability of online monitoring sensors has become increasingly evident, directly affecting the accuracy of transformer fault diagnosis and impacting the development of digital operation and maintenance of transforme...
Citations
... The paper by Liu et al [23] proposed an online anomaly detection method for analog signals of the quasi-sine waveform class, focusing on the evaluation of local trends. The method evaluates sample similarity in a sliding window based on sample trends rather than amplitude deviations, making it sensitive to contextual anomalies that are often subtle and invisible to the human eye. ...
