PHM2008

PHM2008 dataset

FD004

FD004(seasonality=1, horizon=8, freq='None', train_file='train_FD004.txt', test_file='test_FD004.txt', rul_file='RUL_FD004.txt', n_ts=249, n_test=248)

FD003

FD003(seasonality=1, horizon=1, freq='None', train_file='train_FD003.txt', test_file='test_FD003.txt', rul_file='RUL_FD003.txt', n_ts=100, n_test=100)

FD002

FD002(seasonality=1, horizon=1, freq='None', train_file='train_FD002.txt', test_file='test_FD002.txt', rul_file='RUL_FD002.txt', n_ts=260, n_test=259)

FD001

FD001(seasonality=1, horizon=1, freq='None', train_file='train_FD001.txt', test_file='test_FD001.txt', rul_file='RUL_FD001.txt', n_ts=100, n_test=100)

PHM2008

PHM2008()

PHM2008.download

download(directory)

Download PHM2008 Dataset.

Parameters:

Name	Type	Description	Default
directory	str	Directory path to download dataset.	required

PHM2008.load

load(directory, group, clip_rul=True)

Downloads and loads M3 data.

Parameters:

Name	Type	Description	Default
directory	str	Directory where data will be downloaded.	required
group	str	Group name. Allowed groups: ‘FD001’, ‘FD002’, ‘FD003’, ‘FD004’.	required
clip_rul	bool	Wether or not upper bound the remaining useful life to 125.	True

Returns:

Type	Description
Tuple[DataFrame, DataFrame]	Tuple[pd.DataFrame, pd.DataFrame]: Target time series with columns [‘unique_id’, ‘ds’, ‘y’, ‘exogenous’].