Fig.1. Architecture of remote data transmission network.
Fig.1. Architecture of remote data transmission network.
Fig 2. Trend of gas turbine rotor vibration to load. (a) 1B~4B rotor vibration trends, (b) power(=load) trend.
Fig 2. Trend of gas turbine rotor vibration to load. (a) 1B~4B rotor vibration trends, (b) power(=load) trend.
Fig.3. Data‐sets selected by grouping component variables of 2B_1X vibration for learning.
Fig.3. Data‐sets selected by grouping component variables of 2B_1X vibration for learning.
Fig.4. Validation of regression prediction models of 2B_1X B vibration.
Fig.4. Validation of regression prediction models of 2B_1X B vibration.
Fig.5. Plots of result demonstrating 2B_1X vibration prediction models.
Fig.5. Plots of result demonstrating 2B_1X vibration prediction models.
Fig.6. Trends of 1B~4B vibration to power of 12.01.2016~12.16.2016. (a) signals of 1B~4B vibration sensors, (b) trend of power.
Fig.6. Trends of 1B~4B vibration to power of 12.01.2016~12.16.2016. (a) signals of 1B~4B vibration sensors, (b) trend of power.
Fig.7. 2B vibration prediction to power. (a) “0” area's prediction result to power, (b) “2” area's prediction result to power.
Fig.7. 2B vibration prediction to power. (a) “0” area's prediction result to power, (b) “2” area's prediction result to power.
Table 1. Correlation analysis result
Table 1. Correlation analysis result
References
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