A multichannel monitoring system based upon vibration signal processing for mine-shaft installation

Measurement ◽  
1991 ◽  
Vol 9 (1) ◽  
pp. 10-12
Author(s):  
A Lipowczan ◽  
T Rabsztyn
Keyword(s):  
Signal Processing ◽  
Monitoring System ◽  
Vibration Signal ◽  
Mine Shaft

Fault Detection of Broken Rotor Bar Using an Improved form of Hilbert–Huang Transform

2018 ◽  
Vol 17 (02) ◽  
pp. 1850012 ◽  
Author(s):  
F. Sabbaghian-Bidgoli ◽  
J. Poshtan
Keyword(s):  
Signal Processing ◽  
Fault Detection ◽  
Hilbert Transform ◽  
Wavelet Packet ◽  
Amplitude Spectrum ◽  
Vibration Signal ◽  
External Noise ◽  
Vibration Signals ◽  
Broken Rotor Bar ◽  
Hilbert Huang Transform

Signal processing is an integral part in signal-based fault diagnosis of rotary machinery. Signal processing converts the raw data into useful features to make the diagnostic operations. These features should be independent from the normal working conditions of the machine and the external noise. The extracted features should be sensitive only to faults in the machine. Therefore, applying more efficient processing techniques in order to achieve more useful features that bring faster and more accurate fault detection procedure has attracted the attention of researchers. This paper attempts to improve Hilbert–Huang transform (HHT) using wavelet packet transform (WPT) as a preprocessor instead of ensemble empirical mode decomposition (EEMD) to decompose the signal into narrow frequency bands and extract instantaneous frequency and compares the efficiency of the proposed method named “wavelet packet-based Hilbert transform (WPHT)” with the HHT in the extraction of broken rotor bar frequency components from vibration signals. These methods are tested on vibration signals of an electro-pump experimental setup. Moreover, this project applies wavelet packet de-noising to remove the noise of vibration signal before applying both methods mentioned and thereby achieves more useful features from vibration signals for the next stages of diagnosis procedure. The comparison of Hilbert transform amplitude spectrum and the values and numbers of detected instantaneous frequencies using HHT and WPHT techniques indicates the superiority of the WPHT technique to detect fault-related frequencies as an improved form of HHT.

Study on Mine Shaft Liner Breaking Mechanism and Application of Monitoring System in Deep and Thick Overburden

2012 ◽  
Vol 446-449 ◽  
pp. 1633-1636
Author(s):  
Peng Li He ◽  
Cui Ran Liu
Keyword(s):  
Monitoring System ◽  
Underground Water ◽  
Coal Industry ◽  
Vertical Force ◽  
Mine Shaft ◽  
Additional Force ◽  
Additional Strain ◽  
Breaking Mechanism ◽  
Thick Overburden ◽  
Main Factor

The non-mining damage of shaft liner in deep and thick overburden occurred frequently in China. This causes heavy losses to the coal industry in China. The paper had a discussion on theories that explain the breaking mechanism of the mine shaft liner. As pointed out, the mining activities could make underground water table dropping and the strata consolidation and compaction could cause the overburden subsidence. Therefore a vertical additional force would be affected on the mine shaft liner and the vertical additional force would be the main factor to cause breakings on the mine shaft liner. According to the cause, the paper holds that a monitoring system should be built to monitor the additional strain of the mine shaft liner. Based on the analysis of these data, the safety of the mine shaft liner can be accuracy evaluated and timely forecasted. Therefore the mine liner breaking could be prevented before fracture by decreasing the vertical force or strengthening mine shaft liner.

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