Investigation of vibration problem of the throttle valve in a multi-way valve test rig

2012 ◽  
Author(s):  
Xiaoteng Wang ◽  
Zongxia Jiao ◽  
Shuai Wu ◽  
Jun Sun
Keyword(s):  
Test Rig ◽  
Vibration Problem ◽  
Throttle Valve

Stepped Sine and Multisine Signal Excitation for Identification in a Small AMB Test Rig

2017 ◽  
Author(s):  
Fernando Augusto de Noronha Castro Pinto ◽  
Thiago Ritto ◽  
David Julian Gonzalez Maldonado ◽  
Diego Alejandro Godoy Diaz
Keyword(s):  
Test Rig

DESIGN OF RUBBER FATIGUE BEHAVIOUR TEST RIG

2013 ◽  
Vol 41 (2) ◽  
pp. 501-516
Author(s):  
Abdullah Mohammed ◽  
Karam M. Emara ◽  
Mahmoud M. Nemat-Alla
Keyword(s):  
Fatigue Behaviour ◽  
Test Rig

An equivalent NVH model of vehicle door seal strip and its application in door vibration problem

2021 ◽  
Vol 179 ◽  
pp. 108063
Author(s):  
Erli Xia ◽  
Ziming Chen ◽  
Zhigang Xue ◽  
Sawei Qiu ◽  
Congchang Xu ◽  
...  
Keyword(s):  
Vibration Problem

Experimental investigation on time-domain features in the diagnosis of rolling element bearings by acoustic emission

2021 ◽  
pp. 107754632110161
Author(s):  
Aref Aasi ◽  
Ramtin Tabatabaei ◽  
Erfan Aasi ◽  
Seyed Mohammad Jafari
Keyword(s):  
Acoustic Emission ◽  
Condition Monitoring ◽  
Time Domain ◽  
Central Moment ◽  
Rolling Element Bearings ◽  
Test Rig ◽  
Acoustic Emission Sensor ◽  
Outer Race ◽  
Common Time ◽  
Rolling Element

Inspired by previous achievements, different time-domain features for diagnosis of rolling element bearings are investigated in this study. An experimental test rig is prepared for condition monitoring of angular contact bearing by using an acoustic emission sensor for this purpose. The acoustic emission signals are acquired from defective bearing, and the sensor takes signals from defects on the inner or outer race of the bearing. By studying the literature works, different domains of features are classified, and the most common time-domain features are selected for condition monitoring. The considered features are calculated for obtained signals with different loadings, speeds, and sizes of defects on the inner and outer race of the bearing. Our results indicate that the clearance, sixth central moment, impulse, kurtosis, and crest factors are appropriate features for diagnosis purposes. Moreover, our results show that the clearance factor for small defects and sixth central moment for large defects are promising for defect diagnosis on rolling element bearings.

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