most citedMulti-Sensor Prognostics using an Unsupervised Health Index based on LSTM Encoder-Decoder

165 citations · 165 across the 1 of their papers we have counts for

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1 paper

cs.LG2016★ 165 cited

Multi-Sensor Prognostics using an Unsupervised Health Index based on LSTM Encoder-Decoder

Pankaj Malhotra, Vishnu TV, Anusha Ramakrishnan +4

Many approaches for estimation of Remaining Useful Life (RUL) of a machine, using its operational sensor data, make assumptions about how a system degrades or a fault evolves, e.g.…