activity
20202023
most citedGraph neural network-based fault diagnosis: a review

36 citations · 51 across the 8 of their papers we have counts for

collaborators

9 papers

eess.SY2023

Replay Attack Detection Based on Parity Space Method for Cyber-Physical Systems

Dong Zhao, Yang Shi, Steven X. Ding +2

The replay attack detection problem is studied from a new perspective based on parity space method in this paper. The proposed detection methods have the ability to distinguish sys…

eess.SY2022★ 7 cited

Control theoretically explainable application of autoencoder methods to fault detection in nonlinear dynamic systems

Linlin Li, Steven X. Ding, Ketian Liang +2

This paper is dedicated to control theoretically explainable application of autoencoders to optimal fault detection in nonlinear dynamic systems. Autoencoder-based learning is a st…

eess.SY2022★ 1 cited

An alternative paradigm of fault diagnosis in dynamic systems: orthogonal projection-based methods

Steven X. Ding, Linlin Li, Tianyu Liu

In this paper, we propose a new paradigm of fault diagnosis in dynamic systems as an alternative to the well-established observer-based framework. The basic idea behind this work i…

eess.SY2021★ 36 cited

Graph neural network-based fault diagnosis: a review

Zhiwen Chen, Jiamin Xu, Cesare Alippi +4

Graph neural network (GNN)-based fault diagnosis (FD) has received increasing attention in recent years, due to the fact that data coming from several application domains can be ad…

math.OC2021★ 1 cited

From Generalized Gauss Bounds to Distributionally Robust Fault Detection with Unimodality Information

Chao Shang, Hao Ye, Dexian Huang +1

Probabilistic methods have attracted much interest in fault detection design, but its need for complete distributional knowledge is seldomly fulfilled. This has spurred endeavors i…

eess.SY2021

Application of the unified control and detection framework to detecting stealthy integrity cyber-attacks on feedback control systems

Steven X. Ding, Linlin Li, Dong Zhao +2

This draft addresses issues of detecting stealthy integrity cyber-attacks on automatic control systems in the unified control and detection framework. A general form of integrity c…