Vibration Analysis-Based Fault Diagnosis of a Dynamically Loaded Bearing with Distributed Defect

2021 ◽  
Author(s):  
Govardhan Tingarikar ◽  
Achintya Choudhury
Keyword(s):  
Fault Diagnosis ◽  
Vibration Analysis ◽  
Dynamically Loaded

Power Transformer Fault Diagnosis Based on Vibration Correlation Analysis

2014 ◽  
Author(s):  
Kaixing Hong ◽  
Hai Huang
Keyword(s):  
Fault Diagnosis ◽  
Correlation Analysis ◽  
Fundamental Frequency ◽  
Vibration Analysis ◽  
Laboratory Tests ◽  
Power Transformer ◽  
Assessment Model ◽  
Vibration Method ◽  
Proposed Model ◽  
Transformer Fault

In this paper, a condition assessment model using vibration method is presented to diagnose winding structure conditions. The principle of the model is based on the vibration correlation. In the model, the fundamental frequency vibration analysis is used to separate the winding vibration from the tank vibration. Then, a health parameter is proposed through the vibration correlation analysis. During the laboratory tests, the model is validated on a test transformer, and manmade deformations are provoked in a special winding to compare the vibrations under different conditions. The results show that the proposed model has the ability to assess winding conditions.

Statistical fault diagnosis based on vibration analysis for gear test-bench under non-stationary conditions of speed and load

2012 ◽  
Vol 29 ◽  
pp. 436-446 ◽  
Author(s):  
Luisa F. Villa ◽  
Aníbal Reñones ◽  
Jose R. Perán ◽  
Luis J. de Miguel
Keyword(s):  
Fault Diagnosis ◽  
Vibration Analysis ◽  
Test Bench ◽  
Stationary Conditions

Fault diagnosis of railway roller bearing based on vibration analysis and information fusion

2012 ◽  
Vol 131 (4) ◽  
pp. 3307-3307 ◽  
Author(s):  
Bin Chen ◽  
Zhaoli Yan ◽  
Xiaobin Cheng ◽  
Wei Liu
Keyword(s):  
Fault Diagnosis ◽  
Information Fusion ◽  
Vibration Analysis ◽  
Roller Bearing

Improved Blade Fault Diagnosis Using Discrete Blade Passing Energy Packet and Rotor Dynamics Wavelet Analysis

2010 ◽  
Author(s):  
Meng Hee Lim ◽  
M. Salman Leong
Keyword(s):  
Fault Diagnosis ◽  
Gas Turbine ◽  
Vibration Analysis ◽  
Rotor System ◽  
Field Conditions ◽  
Spectra Analysis ◽  
Vibration Spectra ◽  
Time Frequency ◽  
Blade Tip ◽  
Rotor Dynamic

Blade fault represents one of the most frequent causes of gas turbine failures. Although various measurement methods (i.e. pressure, strain gauges, and blade tip measurements) have been found to be effective in diagnosing blade faults, it is often difficult to deploy these methods under field conditions due to the requirement of mounting sensors in the interior of a running gas turbine. Vibration spectra analysis is inevitably still represents the most widely used method for blade fault diagnosis under field conditions. However, this method is known to be only effective in detecting severe blade fault conditions (i.e. terminal rubbing); whilst, minor and transient blade faults (i.e. geometry alterations, reduction in blade tip clearance, and Foreign Object Damage (FOD) event) are often left undetected. This makes vibration spectra analysis an unreliable tool for total blade fault diagnosis in the field. This study was thus conducted to investigate methods that can improve the sensitivity and reliability of vibration analysis for blade faults diagnosis. Two novel vibration analysis methods were formulated, namely the Rotor Dynamic Wavelet Map (RDWM) and Blade Passing Energy Packet (BPEP). Experimental results showed that the time-frequency display of RDWM could provide a clearer picture of the rotor dynamic characteristics of a rotor system compared to vibration spectra. RDWM also provides a better visualization of the blade condition in the rotor and enables discrimination of various blade fault conditions (i.e. creep rub and eccentricity rub). Meanwhile, the BPEP method which breaks the overall Blade Passing Frequency (BPF) component into instantaneous and discrete energy packets of running blades in the rotor system, enables a more sensitive detection of rotor eccentricity conditions and provides early warning for impending blade rubbing which is often undetectable in the vibration spectra.

scholarly journals Vibration Measurment And Analysis of Two Reciprocating Machines

2008 ◽  
Vol 3 (1) ◽  
pp. 14
Author(s):  
Mohammed Mouath AL Khayat ◽  
Mohammed Rashid AL Shorbajy ◽  
Basim AL Najjar
Keyword(s):  
Fault Diagnosis ◽  
Diesel Engines ◽  
Vibration Analysis ◽  
Predictive Maintenance ◽  
Vibration Measurements ◽  
Industrial Areas ◽  
Air Compressor ◽  
Outlet Pipe ◽  
Remedial Actions

Vibration analysis is used as a predictive maintenance tool in a wide variety of industrial areas, especially for rotating and reciprocating machines. In this paper fault diagnosis of the reciprocating air compressor in factory for furniture and the radiator of the diesel engines for generating electricity is presented. The reciprocating air compressor had failures in the outlet pipe of stage one. The radiator of diesel engines was subjected to leakage caused by vibrating forces. In order to detect the faults, some vibration measurements were taken and vibration analysis was accomplished. Finally, according to measurements and vibration analysis results some remedial actions were recommended.

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