Experimental Investigation of Misalignment Effects on Rotor Shaft Vibration and on Stator Current Signature

2014 ◽  
Vol 14 (2) ◽  
pp. 125-138 ◽  
Author(s):  
Alok Kumar Verma ◽  
Somnath Sarangi ◽  
M. H. Kolekar
2021 ◽  
Vol 60 (12) ◽  
Author(s):  
Shirui Guo ◽  
Junhao Yu ◽  
Lujun Cui ◽  
Yinghao Cui ◽  
Yanlong Cao ◽  
...  

Author(s):  
James L. Lawen ◽  
George T. Flowers

This study examines the response of a flexible rotor supported by load sharing between linear bearings and an auxiliary clearance bearing. The objective of the work is to develop a better understanding of the dynamical behavior of a magnetic bearing supported rotor system interacting with auxiliary bearings during a critical operating condition. Of particular interest is the effect of coupling between the bearing/housing and shaft vibration on the rotordynamical responses. A simulation model is developed and a number of studies are performed for various parametric configurations. An experimental investigation is also conducted to compare and verify the rotordynamic behavior predicted by the simulation studies. A strategy for reducing sychronous shaft vibration through appropriate design of coupled shaft/bearing/housing vibration modes is identified. The results are presented and discussed.


Author(s):  
K. Vinoth Kumar ◽  
Prawin Angel Michael

This chapter deals with the diagnosis of induction motors (IM) with the so-called motor current signature analysis (MCSA). The MCSA is one of the most efficient techniques for the detection and the localization of electrical and mechanical failures, in which faults become apparent by harmonic components around the supply frequency. This chapter presents a summary of the most frequent faults and its consequences on the stator current spectrum of an IM. A three-phase IM model was used for simulation taking into account in one hand the normal healthy operation and in the other hand the broken rotor bars, the shorted turns in the stator windings, the voltage unbalance between phases of supply, and the abnormal behavior of load. The MCSA is used by many authors in literature for faults detection of IM. The major contribution of this work is to prove the efficiency of this diagnosis methodology to detect different faults simultaneously, in normal and abnormal functional conditions. The results illustrate good agreement between both simulated and experimental results.


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