The Research of Gear Reducer Fault Diagnosis in Coal Mine

2011 ◽  
Vol 121-126 ◽  
pp. 3627-3631
Author(s):  
Jun Zhang ◽  
Guang Hui Xue ◽  
Miao Wu
Keyword(s):  
Fault Diagnosis ◽  
Coal Mine ◽  
Signal Analysis ◽  
Vibration Signal ◽  
The State ◽  
Vibration Measurement ◽  
Signal Acquisition ◽  
Vibration Signal Analysis

According to the detection and monitoring requirements of the mechanical equipments used in coal mine, this paper achieves the state signal acquisition of the mechanical equipments in coal mine by using self-research portable intrinsically safe recorder of vibration measurement used in cool mine, and uses the vibration signal analysis technology to analyze the obtain signal, actualizing the running condition detection and monitoring of the mechanical equipments in coal mine. This paper presents a method for fault diagnosis of the gear reducer in coal mine.

Study on Automobile Engine Vibration Test Based on LabView Software

2011 ◽  
Vol 418-420 ◽  
pp. 1843-1846
Author(s):  
Zheng Cai Yang ◽  
Zhao Wen Deng
Keyword(s):  
Signal Analysis ◽  
High Performance ◽  
Low Cost ◽  
Vibration Signal ◽  
Data Access ◽  
Vibration Measurement ◽  
Signal Acquisition ◽  
Labview Software ◽  
Vibration Signal Analysis ◽  
Analysis System

A set of Vibration Measurement and Analysis System was Researched. It is the PC as a hardware platform and the labview as a software platform that Completed the whole system. The system contains the necessary sensors, signal conditioning ,data acquisition card and so on.It has data collection, processing,analysis,and results show functions. The Users can carry on the vibration signal analysis by Modules. Software functions Consists mainly of Signal acquisition, historical data access, data filtering, signal analysis and so on. The system is stable, full-featured, easy to operate and has good scalability and low cost high performance.

Research on the Gear Box Fault Diagnosis of Self-Propelled Artillery Based on Vibration Signal Analysis

2014 ◽  
Vol 940 ◽  
pp. 136-139
Author(s):  
Ren Bin Zhou ◽  
Yong Feng Zhang ◽  
Jie Min Yang ◽  
Feng Ling
Keyword(s):  
Fault Diagnosis ◽  
Data Acquisition ◽  
Real Time ◽  
Signal Analysis ◽  
Great Influence ◽  
Vibration Signal ◽  
Vibration Data ◽  
Gearbox Vibration ◽  
Gear Box ◽  
Vibration Signal Analysis

As a universal component connection and power transmission gear box, is widely used in the modern industrial equipment, but also an easy failure parts, has a great influence on the running state of the working performance of the whole machine. This paper first analyzes the gear box fault form and characteristics, the gear box fault diagnosis method based on vibration signal analysis, and analysis of the vibration signal processing method for gear vibration signal analysis in time domain, including parameters, resonance demodulation method and cepstrum analysis method. Then using Visual C + + language and data acquisition card for real-time acquisition of gearbox vibration data software, including parameter setting, data acquisition module, signal real-time display module and data storage module. The data acquisition program is developed, the actual acquisition of gearbox vibration data of gear fault and bearing fault, and analyzed.

Novel predictive features using a wrapper model for rolling bearing fault diagnosis based on vibration signal analysis

2020 ◽  
Vol 106 (7-8) ◽  
pp. 3409-3435 ◽  
Author(s):  
Issam Attoui ◽  
Brahim Oudjani ◽  
Nadir Boutasseta ◽  
Nadir Fergani ◽  
Mohammed-Salah Bouakkaz ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Signal Analysis ◽  
Vibration Signal ◽  
Rolling Bearing ◽  
Bearing Fault ◽  
Bearing Fault Diagnosis ◽  
Vibration Signal Analysis

Vibration Signal Analysis of Bearing Based on EMD and Resonance Demodulation

2014 ◽  
Vol 556-562 ◽  
pp. 1286-1289 ◽  
Author(s):  
Jie Shi ◽  
Xing Wu ◽  
Nan Pan ◽  
Sen Wang ◽  
Jun Zhou
Keyword(s):  
Fault Diagnosis ◽  
Correlation Coefficient ◽  
Signal Analysis ◽  
Vibration Signal ◽  
Rolling Bearing ◽  
Rotating Machinery ◽  
Experimental Station ◽  
Fault Type ◽  
Mode Function ◽  
Vibration Signal Analysis

In order to monitor the operation state and implement fault diagnosis of rolling bearing in rotating machinery, this paper presents a method of fault diagnosis of rolling bearing, which is based on EMD and resonance demodulation. Using EMD to decompose the signal, which comes from QPZZ-II experimental station, the components of intrinsic mode function (IMF) will be obtained. Then, calculating the correlation coefficient of each IMF component, the highest correlation coefficient of IMF component will be analyzed by resonance demodulation. Finally, the experimental results show that the method can accurately identify and diagnose the running state and bearing fault type.

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