Research Article
Hidden Semi-Markov Models for Predictive Maintenance
Table 1
State recognition accuracy.
(a) Continuous observations |
| Test case | Duration distribution | Gaussian | Gamma | Weibull |
| 1 | 99.4% | 98.5% | 99.2% | 2 | 99.7% | 98.6% | 99.5% | 3 | 99.4% | 99.2% | 99.7% | 4 | 98.9% | 98.9% | 99.7% | 5 | 98.2% | 98.9% | 100% | 6 | 99.1% | 98.8% | 99.7% | 7 | 98.5% | 99.4% | 99.7% | 8 | 99.2% | 99.1% | 99.5% | 9 | 99.2% | 98.6% | 99.7% | 10 | 99.2% | 99.1% | 99.5% | Average | 99.1% | 98.9% | 99.6% |
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(b) Discrete observations |
| Test case | Duration distribution | Gaussian | Gamma | Weibull |
| 1 | 97.4% | 96.7% | 97.4% | 2 | 97.2% | 97.6% | 96.5% | 3 | 99.4% | 95.8% | 96.6% | 4 | 98.2% | 95.3% | 97.7% | 5 | 99.1% | 97.4% | 97.5% | 6 | 97.8% | 97.7% | 97.8% | 7 | 95.8% | 97.2% | 96.6% | 8 | 97.7% | 96.4% | 97.2% | 9 | 98.9% | 97.2% | 98.5% | 10 | 99.2% | 95.6% | 96.9% | Average | 98.1% | 96.7% | 97.3% |
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