Processed version of C-MAPSS dataset (doi:10.21979/N9/FMUP9M)

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Part 1: Document Description
Part 2: Study Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

Processed version of C-MAPSS dataset

Identification Number:

doi:10.21979/N9/FMUP9M

Distributor:

DR-NTU (Data)

Date of Distribution:

2022-05-12

Version:

1

Bibliographic Citation:

Ragab, Mohamed, 2022, "Processed version of C-MAPSS dataset", https://doi.org/10.21979/N9/FMUP9M, DR-NTU (Data), V1

Study Description

Citation

Title:

Processed version of C-MAPSS dataset

Identification Number:

doi:10.21979/N9/FMUP9M

Authoring Entity:

Ragab, Mohamed (Nanyang Technological University)

Software used in Production:

python

Grant Number:

Grant Number: A1788a0023

Grant Number:

Grant Number: 51835009

Grant Number:

Grant Number: 51835009

Distributor:

DR-NTU (Data)

Access Authority:

Ragab, Mohamed

Depositor:

Ragab, Mohamed

Date of Deposit:

2022-05-12

Holdings Information:

https://doi.org/10.21979/N9/FMUP9M

Study Scope

Keywords:

Computer and Information Science, Engineering, Computer and Information Science, Engineering, Remaining Useful Life Estimation

Abstract:

C-MAPSS is a simulated turbofan engine dataset that consists of four data subsets with different operating conditions and fault modes denoted as FD001, FD002, FD003, and FD004.

Kind of Data:

time series data

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Related Publications

Citation

Identification Number:

10.1109/TII.2020.3032690

Bibliographic Citation:

Ragab, M., Chen, Z., Wu, M., Foo, C. S., Kwoh, C. K., Yan, R., & Li, X. (2021). Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction. IEEE Transactions on Industrial Informatics, 17(8), 5239-5249.

Citation

Identification Number:

10356/157026

Bibliographic Citation:

Ragab, M., Chen, Z., Wu, M., Foo, C. S., Kwoh, C. K., Yan, R., & Li, X. (2021). Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction. IEEE Transactions on Industrial Informatics, 17(8), 5239-5249.

Other Study-Related Materials

Label:

cmapps_train_test_cross_domain.pt

Notes:

application/octet-stream