Research Article
Discrete Cosine Transformation and Temporal Adjacent Convolutional Neural Network-Based Remaining Useful Life Estimation of Bearings
Table 4
RUL estimation results and comparison.
| Testing bearing | Current time (s) | Actual RUL (s) | Er (%) | LSTM [43] | MCNN [28] | Sparse R [44] | DBN-DP [45] | Proposed method |
| 1–3 | 18010 | 5730 | 93.02 | 17.43 | 4.00 | 2.26 | −1.80 | 1–4 | 11380 | 339 | 191.18 | 10.67 | −10.00 | 23.31 | 20.35 | 1–5 | 23010 | 1610 | 503.11 | −148.19 | 19.00 | −83.23 | 13.66 | 1–6 | 23010 | 1460 | 542.47 | −19.45 | 81.00 | 20.34 | 16.99 | 1–7 | 15010 | 7570 | 3.43 | 19.55 | 60.00 | 22.93 | −2.10 | Score | | | 0.25 | 0.36 | 0.37 | 0.46 | 0.64 |
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