scholarly journals A Novel Distributed Fault Detection Approach Based on the Variational Autoencoder Model

ACS Omega ◽  
2022 ◽  
Author(s):  
Chenghong Huang ◽  
Yi Chai ◽  
Zheren Zhu ◽  
Bowen Liu ◽  
Qiu Tang
Keyword(s):  
Fault Detection ◽  
Detection Approach ◽  
Variational Autoencoder ◽  
Distributed Fault Detection

A Distributed Fault Detection Approach for Industrial Systems

2012 ◽  
Vol 45 (6) ◽  
pp. 291-296
Author(s):  
M.P. Fanti ◽  
A.M. Mangini ◽  
W. Ukovich
Keyword(s):  
Fault Detection ◽  
Industrial Systems ◽  
Detection Approach ◽  
Distributed Fault Detection

A Fault Detection Approach Based on Sound Signal Analysis for Equipment Monitoring

2020 ◽  
pp. 129-139
Author(s):  
Weihai Sun ◽  
Lemei Han
Keyword(s):  
Fault Detection ◽  
Signal Analysis ◽  
Energy Analysis ◽  
Detection Method ◽  
Sound Signal ◽  
Practical Significance ◽  
Time Frequency ◽  
Detection Approach ◽  
Machine Fault ◽  
Learning Data

Machine fault detection has great practical significance. Compared with the detection method that requires external sensors, the detection of machine fault by sound signal does not need to destroy its structure. The current popular audio-based fault detection often needs a lot of learning data and complex learning process, and needs the support of known fault database. The fault detection method based on audio proposed in this paper only needs to ensure that the machine works normally in the first second. Through the correlation coefficient calculation, energy analysis, EMD and other methods to carry out time-frequency analysis of the subsequent collected sound signals, we can detect whether the machine has fault.

scholarly journals Distributed Fault Detection in Smart Spaces Based on Trust Management

2016 ◽  
Vol 83 ◽  
pp. 66-73 ◽  
Author(s):  
Sila Ozen Guclu ◽  
Tanir Ozcelebi ◽  
Johan Lukkien
Keyword(s):  
Fault Detection ◽  
Trust Management ◽  
Smart Spaces ◽  
Distributed Fault Detection
Sign in / Sign up

Export Citation Format

Share Document