A novel fault diagnosis method of smart grids based on memory spiking neural P systems considering measurement tampering attacks
Cyber-attacks can tamper with measurement data from physical systems via communication networks of smart grids, which could potentially lead circuit breakers to trip creating a false fault in the absence of any faulty section. Accordingly, a fault diagnosis method should first determine whether a fa...
Saved in:
Main Authors: | Wang, Tao, Liu, Wei, Cabrera, Luis Valencia, Wang, Peng, Wei, Xiaoguang, Zang, Tianlei |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/163876 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Data-driven fault diagnosis of power converter systems
by: Li, Han
Published: (2024) -
A fault detection and diagnosis scheme for discrete nonlinear system using output probability density estimation
by: Zhang, Y., et al.
Published: (2014) -
Fault diagnosis and fault-tolerant control in linear drives using the Kalman filter
by: Huang, S., et al.
Published: (2014) -
Simultaneous-fault diagnosis considering time series with a deep learning transformer architecture for air handling units
by: Wu, Bingjie, et al.
Published: (2022) -
Fault Injection Attacks: Attack Methodologies, Injection Techniques and Protection Mechanisms
by: Bhasin, Shivam, et al.
Published: (2017)