LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection
1.主要工作是将机械设备的传感器数据，LSTM-encoder-decoder模型输入正常数据时间序列训练模型，重构时间序列，然后使用异常数据进行测试，产生较高的重构错误，表明时间序列数据为异常的。
ps:在encoder-decoder模型中有score机制，较高的异常分数是更可能为异常的。
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