DeveloperMindset123/CMAPSS_Jet_Engine_Simulated_Data

1Data Set: FD0012Train trjectories: 1003Test trajectories: 1004Conditions: ONE (Sea Level)5Fault Modes: ONE (HPC Degradation)6 7Data Set: FD0028Train trjectories: 2609Test trajectories: 25910Conditions: SIX 11Fault Modes: ONE (HPC Degradation)12 13Data Set: FD00314Train trjectories: 10015Test trajectories: 10016Conditions: ONE (Sea Level)17Fault Modes: TWO (HPC Degradation, Fan Degradation)18 19Data Set: FD00420Train trjectories: 24821Test trajectories: 24922Conditions: SIX 23Fault Modes: TWO (HPC Degradation, Fan Degradation)24 25 26 27Experimental Scenario28 29Data sets consists of multiple multivariate time series. Each data set is further divided into training and test subsets. Each time series is from a different engine � i.e., the data can be considered to be from a fleet of engines of the same type. Each engine starts with different degrees of initial wear and manufacturing variation which is unknown to the user. This wear and variation is considered normal, i.e., it is not considered a fault condition. There are three operational settings that have a substantial effect on engine performance. These settings are also included in the data. The data is contaminated with sensor noise.30 31The engine is operating normally at the start of each time series, and develops a fault at some point during the series. In the training set, the fault grows in magnitude until system failure. In the test set, the time series ends some time prior to system failure. The objective of the competition is to predict the number of remaining operational cycles before failure in the test set, i.e., the number of operational cycles after the last cycle that the engine will continue to operate. Also provided a vector of true Remaining Useful Life (RUL) values for the test data.32 33The data are provided as a zip-compressed text file with 26 columns of numbers, separated by spaces. Each row is a snapshot of data taken during a single operational cycle, each column is a different variable. The columns correspond to:341)	unit number352)	time, in cycles363)	operational setting 1374)	operational setting 2385)	operational setting 3396)	sensor measurement  1407)	sensor measurement  241...4226)	sensor measurement  2643 44 45Reference: A. Saxena, K. Goebel, D. Simon, and N. Eklund, �Damage Propagation Modeling for Aircraft Engine Run-to-Failure Simulation�, in the Proceedings of the Ist International Conference on Prognostics and Health Management (PHM08), Denver CO, Oct 2008.46