Abstract
The present invention discloses a method for predicting the remaining useful life of an engine based on a bidirectional spectral-based Transformer model (200) comprising: obtaining sensor data from at least one sensor; filtering sensor data; normalizing the sensor data; inputting the normalized data into a bidirectional spectral-based Transformer model (200) by adopting Discrete Cosine Transform (DCT); training the bidirectional spectral-based Transformer model (200) based on a pre-set training data set; and predicting the remaining useful life (108) of the engine based on the trained bidirectional spectral-based Transformer model (200).
Original language | English |
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Patent number | HK30079023 |
Filing date | 30/12/22 |
Publication status | Published - 6 Apr 2023 |