Data
naval_propulsion_plant

naval_propulsion_plant

active ARFF CC BY 4.0 Visibility: public Uploaded 22-12-2022 by Sebastian Fischer
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  • Agriculture Machine Learning study_353
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Data Description Data have been generated from a sophisticated simulator of a Gas Turbines (GT), mounted on a Frigate characterized by a COmbined Diesel eLectric And Gas (CODLAG) propulsion plant type. The propulsion system behaviour has been described with this parameters: - Ship speed (linear function of the lever position lp). - Compressor degradation coefficient kMc. - Turbine degradation coefficient kMt. so that each possible degradation state can be described by a combination of this triple (lp,kMt,kMc). A series of measures (16 features) which indirectly represents the state of the system subject to performance decay has been acquired and stored in the dataset over the parameter's space. The goal is to estimate gt_compressor_decay_state_coefficient from the given measurements. The columns gt_compressor_inlet_air_pressure, gt_compressor_inlet_air_temperature from the original dataset were removed because they have constant values. Attribute Description 1. *lever_position* 2. *ship_speed* 3. *gas_turbine_shaft_torque* 4. *gas_turbine_rate_of_revolutions* 5. *gas_generator_rate_of_revolutions* 6. *starboard_propeller_torque* 7. *port_propeller_torque* 8. *hp_turbine_exit_temperature* 9. *gt_compressor_inlet_air_temperature* 10. *gt_compressor_outlet_air_temperature* 11. *hp_turbine_exit_pressure* 12. *gt_compressor_inlet_air_pressure* 13. *gt_compressor_outlet_air_pressure* 14. *gas_turbine_exhaust_gas_pressure* 15. *turbine_injecton_control* 16. *fuel_flow* 17. *gt_compressor_decay_state_coefficient* - target feature 18. *gt_turbine_decay_state_coefficient* - alternate target feature

15 features

gt_compressor_decay_state_coefficient (target)numeric51 unique values
0 missing
lever_positionnumeric9 unique values
0 missing
ship_speednumeric9 unique values
0 missing
gas_turbine_shaft_torquenumeric11430 unique values
0 missing
gas_turbine_rate_of_revolutionsnumeric3888 unique values
0 missing
gas_generator_rate_of_revolutionsnumeric11834 unique values
0 missing
starboard_propeller_torquenumeric4286 unique values
0 missing
port_propeller_torquenumeric4286 unique values
0 missing
hp_turbine_exit_temperaturenumeric11772 unique values
0 missing
gt_compressor_outlet_air_temperaturenumeric11506 unique values
0 missing
hp_turbine_exit_pressurenumeric524 unique values
0 missing
gt_compressor_outlet_air_pressurenumeric4209 unique values
0 missing
gas_turbine_exhaust_gas_pressurenumeric19 unique values
0 missing
turbine_injecton_controlnumeric8496 unique values
0 missing
fuel_flownumeric696 unique values
0 missing
gt_turbine_decay_state_coefficient (ignore)numeric26 unique values
0 missing

19 properties

11934
Number of instances (rows) of the dataset.
15
Number of attributes (columns) of the dataset.
0
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
15
Number of numeric attributes.
0
Number of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
1
Average class difference between consecutive instances.
0
Percentage of missing values.
0
Number of attributes divided by the number of instances.
100
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.

1 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: gt_compressor_decay_state_coefficient
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