Hydraulic Support Tail Beam Natural Characteristics Analysis for Coal and Rock Identification

2014 ◽  
Vol 687-691 ◽  
pp. 77-80
Author(s):  
Xiao Yan Cong ◽  
Zeng Cai Wang ◽  
Xian De Ma
Keyword(s):  
Signal Analysis ◽  
Multiple Comparison ◽  
Signal Acquisition ◽  
Hydraulic Support ◽  
Vibration Signals ◽  
Inherent Property ◽  
Characteristics Analysis ◽  
Natural Characteristics ◽  
Beam Signal

Accurate vibration signals are important for signal analysis in the method of analysis vibration of hydraulic support tail beam. Signal acquisition position needs multiple comparison and optimization on site. Natural characteristics analysis of the hydraulic support tail beam can offer theoretical guidance to optimize sensor installation position. In this paper, impulse hammer excitation was used to analyze the inherent property of the hydraulic support tail beam which provided useful information for setting the signal pick-up place.

scholarly journals An Improved High-Intelligence Method of Gas and Oil Pipeline Prewarning System in Real Soil Environment

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Fang Wang ◽  
Jichuan Xing ◽  
Jinxin Li ◽  
Feng Zhao ◽  
Shufeng Zhang
Keyword(s):  
Optical Fiber ◽  
Real Time ◽  
Recognition Accuracy ◽  
Signal Acquisition ◽  
Soil Environment ◽  
Long Distance ◽  
Vibration Signals ◽  
Oil Pipeline ◽  
Time Performance ◽  
High Intelligence

With the development of technology, the total extent of global pipeline transportation is also increased. However, the traditional long-distance optical fiber prewarning system has poor real-time performance and high false alarm rate when recognizing events threatening pipeline safety. The same vibration signal would vary greatly when collected in different soil environments and this problem would reduce the signal recognition accuracy of the prewarning system. In this paper, we studied this effect theoretically and analyzed soil vibration signals under different soil conditions. Then we studied the signal acquisition problem of long-distance gas and oil pipeline prewarning system in real soil environment. Ultimately, an improved high-intelligence method was proposed for optimization. This method is based on the real application environment, which is more suitable for the recognition of optical fiber vibration signals. Through experiments, the method yielded high recognition accuracy of above 95%. The results indicate that the method can significantly improve signal acquisition and recognition and has good adaptability and real-time performance in the real soil environment.

The Research of the Spectral Features of Vibration Signals from Underground Railway Based on Wavelet Transform

2011 ◽  
Vol 243-249 ◽  
pp. 3463-3467
Author(s):  
Zhi Gang Yin
Keyword(s):  
Wavelet Transform ◽  
Signal Analysis ◽  
Spectral Features ◽  
Maximum Acceleration ◽  
Vibration Signals ◽  
Matlab Program ◽  
Underground Railway ◽  
Non Stationary Signal ◽  
Frequency Properties ◽  
Acceleration Signals

Using wavelet transform, signal’s frequency properties of vibration induced by underground are analyzed A MATLAB program is developed in order to decompose and reconstruct acceleration signals. The law that acceleration signals change in time-spectral domain is got. Then the relations of vibration signal’s maximum acceleration, energy, frequency and spectral are discussed. In contrast to conventional Fourier Transform， wavelet analysis can provide the evolution of spectral features of a signal as this evolves in time. It is ideal for random and non-stationary signal analysis.

An Experimental Study on Electric Hot Milling for T10A Tool Steel

2011 ◽  
Vol 117-119 ◽  
pp. 1843-1846
Author(s):  
Yu Cai Chen ◽  
Xi Wang ◽  
Li Bing Liu ◽  
Dong Ting Liao ◽  
Fei Wu
Keyword(s):  
Tool Steel ◽  
Cutting Tool ◽  
Wavelet Packet ◽  
Machining Process ◽  
Signal Acquisition ◽  
Dry Milling ◽  
Vibration Signals ◽  
Milling Tool ◽  
Milling Method ◽  
Tool Durability

This paper introduces a kind of electric hot milling method for T10A tool steel and analyses its feasibility. Collect temperature signals and vibration signals in the machining process by a set of signal acquisition system. Afterwards, process these signals by using wavelet transform and wavelet packet transform, compare and analyze them in different working conditions. The results of the study indicate that through comparison between dry milling and electric hot milling, the latter can be more effectively milling tool steel, and improve the cutting tool durability.

Natural Characteristics Analysis on Structure of Disc Vibration Dryer

2011 ◽  
Vol 308-310 ◽  
pp. 2398-2403
Author(s):  
Xue Ping Wang ◽  
Zhen Wei Zhang
Keyword(s):  
Dynamic Characteristics ◽  
Vibration System ◽  
Periodic Vibration ◽  
Characteristics Analysis ◽  
Natural Characteristics

In view of the influence of the periodic vibration to the structure of disc vibration dryer, This article analyzes the mode of vibration system of the dryer by using FEA software ANSYS, extracts the first ten order modes and gets the dynamic characteristics on the modes. The analysis of the modes and the characteristics can provide basis for the improvement of this kind of dryer.

Software and Hardware Design of Signal Acquisition System about Electro-Hydraulic Control System of Hydraulic Support

2014 ◽  
Vol 889-890 ◽  
pp. 906-910
Author(s):  
Xi Zhang ◽  
Peng Xia ◽  
Ya Bin Cui ◽  
Yong Qi Liu ◽  
Xin Xing Liu ◽  
...  
Keyword(s):  
Control System ◽  
Control Function ◽  
Hardware Design ◽  
Acquisition System ◽  
Signal Acquisition ◽  
Hydraulic Control ◽  
Hydraulic Support ◽  
Software And Hardware ◽  
Column Pressure ◽  
Hydraulic Control System

Electro-hydraulic control system of hydraulic support in addition to being able to control the basic movements of hydraulic support, also can work for signal acquisition of mining environment, including pressure of column pressure, displacement of push lutetium and pull support etc. The electro-hydraulic control system is presented in this paper, on the basis of the original control function added signal acquisition module, and designed the hardware and software.

Health Monitoring of a Gear Box Using Vibration Signal Analysis

2015 ◽  
Vol 813-814 ◽  
pp. 1012-1017 ◽  
Author(s):  
M.R. Praveen ◽  
M. Saimurugan
Keyword(s):  
Frequency Domain ◽  
Health Monitoring ◽  
Crucial Role ◽  
Signal Analysis ◽  
Vibration Signal ◽  
Vibration Signals ◽  
Nearest Neighbours ◽  
Gear Box ◽  
Vibration Signal Analysis

A gear plays a crucial role in the performance of a gear box. The faults in a gear reduces the gear life and if problem arises in shaft it affects bearing. Gear box is finally affected due to these faults. Vibration signals carries information about condition of a gear box which are captured using piezoelectric accelerometer. In this paper, features are extracted and classified using K nearest neighbours (KNN) algorithms for both time and frequency domain. The effectiveness of KNN in classification of gear faults for both time and frequency domain is discussed and compared.

scholarly journals The assessment of valve clearance in internal combustion engines based on parameters of vibration – methodological assumption

2004 ◽  
Vol 118 (1) ◽  
pp. 51-59
Author(s):  
Bartosz CZECHYRA ◽  
Grzegorz SZYMAŃSKI ◽  
Franciszek TOMASZEWSKI
Keyword(s):  
Signal Analysis ◽  
Internal Combustion Engines ◽  
Vibration Signal ◽  
Internal Combustion ◽  
Combustion Engines ◽  
Diagnostic Problem ◽  
Vibration Signals

In this article authors show the possibillities of using the parameters of vibration signals to estimate valve clearance in internal combustion engines. The main methodological assumptions of signal analysis and their results have been presented herein. The concept of research so as to solve the valve clearance diagnostic problem, based on the vibration signal, has been shown as well.

Sign in / Sign up

Export Citation Format

Share Document