activity
20172024
most citedImage-Based Prognostics Using Penalized Tensor Regression

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ML2024

Prognostics for Autonomous Deep-Space Habitat Health Management under Multiple Unknown Failure Modes

Benjamin Peters, Ayush Mohanty, Xiaolei Fang +2

Deep-space habitats (DSHs) are safety-critical systems that must operate autonomously for long periods, often beyond the reach of ground-based maintenance or expert intervention. M…

cs.LG2023

Federated Multilinear Principal Component Analysis with Applications in Prognostics

Chengyu Zhou, Yuqi Su, Tangbin Xia +1

Multilinear Principal Component Analysis (MPCA) is a widely utilized method for the dimension reduction of tensor data. However, the integration of MPCA into federated learning rem…

cs.LG2022

A Supervised Tensor Dimension Reduction-Based Prognostics Model for Applications with Incomplete Imaging Data

Chengyu Zhou, Xiaolei Fang

This paper proposes a supervised dimension reduction methodology for tensor data which has two advantages over most image-based prognostic models. First, the model does not require…

stat.AP2019

Two-Dimensional Variable Selection and Its Applications in the Diagnostics of Product Quality Defects

Cheoljoon Jeong, Xiaolei Fang

The root-cause diagnostics of product quality defects in multistage manufacturing processes often requires a joint identification of crucial stages and process variables. To meet t…

stat.AP2017★ 1 cited

Image-Based Prognostics Using Penalized Tensor Regression

Xiaolei Fang, Kamran Paynabar, Nagi Gebraeel

This paper proposes a new methodology to predict and update the residual useful lifetime of a system using a sequence of degradation images. The methodology integrates tensor linea…