scholarly journals A Fault Detection Method for Nonlinear Black-Box Systems Based on Multi-ARMAX Modeling

2000 ◽  
Vol 2000 (0) ◽  
pp. 67-72 ◽  
Author(s):  
Kousuke Kumamaru ◽  
Jinglu Hu ◽  
Seiji Furukawa ◽  
Katsuhiro Inoue
Keyword(s):  
Fault Detection ◽  
Detection Method ◽  
Black Box

scholarly journals IMPROVEMENT OF FAULT DETECTION METHOD FOR NONLINEAR BLACK-BOX SYSTEMS BASED ON MULTI-FORM QUASI-ARMAX MODELING

2005 ◽  
Vol 38 (1) ◽  
pp. 101-106
Author(s):  
K. Kumamaru ◽  
K. Inoue ◽  
F. Tsubouchi ◽  
T. Söderström
Keyword(s):  
Fault Detection ◽  
Detection Method ◽  
Black Box

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.

A fault detection method for new PV module strufure

2010 ◽  
Vol 24 (2) ◽  
pp. 131-136 ◽  
Author(s):  
Ze Cheng ◽  
Bingfeng Li ◽  
Li Liu ◽  
Yanli Liu
Keyword(s):  
Fault Detection ◽  
Detection Method ◽  
Pv Module
Sign in / Sign up

Export Citation Format

Share Document