Vibration Analysis of Rotating Machinery as Excitation of Concrete Structure Vibrations

2019 ◽  
pp. 73-81 ◽  
Author(s):  
Emir Nezirić ◽  
Edin Džiho ◽  
Edin Šunje
Keyword(s):  
Concrete Structure ◽  
Vibration Analysis ◽  
Rotating Machinery

scholarly journals Vibration Analysis of Rotor - Coupling - Bearing System With Misaligned Shafts

1996 ◽  
Author(s):  
A. Sreenivasa Rao ◽  
A. S. Sekhar
Keyword(s):  
Theoretical Model ◽  
Finite Elements ◽  
Vibration Analysis ◽  
Rotating Machinery ◽  
Value Analysis ◽  
Flexible Coupling ◽  
Eigen Value ◽  
Shaft Misalignment ◽  
Reaction Forces ◽  
Bearing System

The shaft misalignment, even being a common fault in rotating machinery, is not sufficiently studied. The present work addresses effects of misalignment in rotating machinery. An attempt to give a theoretical model for a rotor-coupling-bearing system has been done. The rotor-bearing system including the flexible coupling is modelled using the finite elements. The reaction forces and moments developed due to flexible coupling misalignment both for parallel and angular are derived and introduced in the model. Vibration analyses such as eigen value analysis and unbalance response are carried out for the rotor system with misaligned shafts.

scholarly journals Low-Cost, High-Frequency, Data Acquisition System for Condition Monitoring of Rotating Machinery through Vibration Analysis-Case Study

Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3493
Author(s):  
César Ricardo Soto-Ocampo ◽  
José Manuel Mera ◽  
Juan David Cano-Moreno ◽  
José Luis Garcia-Bernardo
Keyword(s):  
Data Acquisition ◽  
Condition Monitoring ◽  
Vibration Analysis ◽  
Low Cost ◽  
Data Acquisition System ◽  
Sampling Frequency ◽  
Rotating Machinery ◽  
Acquisition System ◽  
Raspberry Pi

Data acquisition is a crucial stage in the execution of condition monitoring (CM) of rotating machinery, by means of vibration analysis. However, the major challenge in the execution of this technique lies in the features of the recording equipment (accuracy, resolution, sampling frequency and number of channels) and the cost they represent. The present work proposes a low-cost data acquisition system, based on Raspberry-Pi, with a high sampling frequency capacity in the recording of up to three channels. To demonstrate the effectiveness of the proposed data acquisition system, a case study is presented in which the vibrations registered in a bearing are analyzed for four degrees of failure.

121 The study on rubbing vibration analysis for the rotating machinery

2005 ◽  
Vol 2005 (0) ◽  
pp. _121-1_-_121-6_
Author(s):  
Koki Shiohata ◽  
Tomoyuki Seki
Keyword(s):  
Vibration Analysis ◽  
Rotating Machinery

Lund’s Elliptic Orbit Forced Response Analysis: The Keystone of Modern Rotating Machinery Analysis

2001 ◽  
Author(s):  
R. Gordon Kirk
Keyword(s):  
Linear Response ◽  
Vibration Analysis ◽  
Rotating Machinery ◽  
Forced Response ◽  
Design Tool ◽  
Elliptic Orbit ◽  
Response Analysis ◽  
Flexible Rotor ◽  
Response Sensitivity ◽  
Machinery Design

Abstract A total understanding of rotating machinery vibration analysis requires evaluation of critical speed placement, forced response sensitivity to imbalance, linear onset of instability prediction and full non-linear response analysis. Of these four areas of analysis, only the first three are applied as a basic design tool in modern turbo-machinery analysis. The prediction of multi-mass flexible rotor steady-state elliptic orbit response, including bearing damping and support flexibility, has been and remains in this author’s opinion, to be the basic workhorse and keystone of machinery design. This has now been true for over 35 years. The person responsible for developing this basic method of analysis has been a longtime friend of many engineers worldwide. This paper is written to acknowledge this contribution, one of many in fact, made by Jorgen W. Lund and is presented in memory of his life’s work at this occasion of honoring his contributions to our profession. The utility of the analysis will be discussed and the powerful insight it gives to complex machinery dynamic behavior will be illustrated.

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