Markov Processes Applied to Control, Replacement, and Signal Analysis.

1983 ◽  
Author(s):  
E. Cinlar
Keyword(s):  
Markov Processes ◽  
Signal Analysis

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.

Bilinear Markov Processes of Searching for Moving Targets

2001 ◽  
Vol 33 (5-8) ◽  
pp. 13
Author(s):  
Karen G. Dzyubenko ◽  
Arkadiy A. Chikriy
Keyword(s):  
Markov Processes ◽  
Moving Targets
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