scholarly journals Nondestructive Detection of Valves Using Acoustic Emission Technique

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Jin Yan ◽  
Yang Heng-hu ◽  
Yang Hong ◽  
Zhang Feng ◽  
Liu Zhen ◽  
...  
Keyword(s):  
Acoustic Emission ◽  
Condition Monitoring ◽  
Detection System ◽  
Theoretical Models ◽  
Acoustic Emission Technique ◽  
Nondestructive Detection ◽  
Basic Composition ◽  
Measuring Devices ◽  
Cavitation Detection ◽  
Ae Signals

The applications of acoustic emission (AE) technique in detection of valves are presented in this review, and the theoretical models and experimental results of nondestructive detection of valves using AE are provided. The generation of AE signals and the basic composition of AE detection system are briefly explained. The applications of AE technique in valves are focused on condition monitoring, failure, cavitation detection, and the development of portable measuring devices. All results prove that the AE technique works well in the detection of valves.

scholarly journals Intelligent Fault Diagnosis of Synchromesh Gearbox Using Fusion of Vibration and Acoustic Emission Signals for Performance Enhancement

2019 ◽  
Vol 10 (2) ◽  
Author(s):  
T Praveenkumar ◽  
M Saimurugan ◽  
K I Ramachandran
Keyword(s):  
Support Vector Machine ◽  
Acoustic Emission ◽  
Fault Diagnosis ◽  
Condition Monitoring ◽  
Support Vector ◽  
Feature Level Fusion ◽  
Sensor Signals ◽  
Early Fault Detection ◽  
Ae Signals ◽  
Level Fusion

Condition monitoring system monitors the system degradation and it identifies common failure modes. Several sensor signals are available for monitoring the changes in system components. Vibration signal is one of the most extensively used technique for monitoring rotating components as it identifies faults before the system fails. Early fault detection is the significant factor for condition monitoring, where Acoustic Emission ( AE ) sensor signals have been applied for early fault detection due to their high sensitivity and high frequency. In this paper, vibration and acoustic emission signals are acquired under various simulated gear and bearing fault conditions from the synchromesh gearbox. Then the statistical features are extracted from vibration and AE signals and then the prominent features are selected using J48 decision tree algorithm respectively. The best features from the vibration and AE signals are then fused using feature-level fusion strategy and it is classified using Support Vector Machine ( SVM ) and Proximal Support Vector Machine ( PSVM ) classifiers and it is compared with individual signals for fault diagnosis of the synchromesh gearbox. From the experiments, it is observed that the performance of the fault diagnosis system has been improved for the proposed feature level fusion technique compared to the performance of unfused vibration and AE feature sets.

Determining the feasibility of identifying creep rupture of stainless steel cladding tubes on-line using acoustic emission technique

2015 ◽  
Vol 6 (3) ◽  
pp. 410-418
Author(s):  
N Mahendra Prabhu ◽  
K.A. Gopal ◽  
S. Murugan ◽  
T.K. Haneef ◽  
C. K. Mukhopadhyay ◽  
...  
Keyword(s):  
Stainless Steel ◽  
Acoustic Emission ◽  
Creep Rupture ◽  
Acoustic Emission Technique ◽  
Content Type ◽  
Fuel Pin ◽  
On Line ◽  
Clad Tube ◽  
Non Destructive ◽  
Ae Signals

Purpose – The purpose of this paper is to determine the feasibility of identifying the creep rupture of reactor cladding tubes using acoustic emission technique (AET). Design/methodology/approach – The creep rupture tests were carried out by pressuring stainless steel capsules upto 6 MPa at room temperature and then heating continuously in a furnace upto rupture. The acoustic emission (AE) signals generated during the creep rupture tests were recorded using a 150 kHz resonant sensor and analysed using AE Win software. Findings – When rupture occurs in the pressurized capsule tube representing the cladding tube, AE sensor attached to a waveguide captures the mechanical disturbance from the capsule and these data can be advantageously used to identify the creep rupture event of the cladding tube. Practical implications – The creep rupture data of fuel clad tube is very important in design and for smooth operation of nuclear reactors without fuel pin failure in reactors. Originality/value – AE is an advanced non-destructive evaluation technique. This technique has been successfully applied for on-line monitoring of creep rupture of the reactor cladding tube which otherwise could be detected by thermocouple readings only.

A Review of Acoustic Emission Technique for Machinery Condition Monitoring: Defects Detection & Diagnostic

2012 ◽  
Vol 229-231 ◽  
pp. 1476-1480 ◽  
Author(s):  
Salah M. Ali Al-Obaidi ◽  
M. Salman Leong ◽  
R.I. Raja Hamzah ◽  
Ahmed M. Abdelrhman
Keyword(s):  
Acoustic Emission ◽  
Condition Monitoring ◽  
State Of The Art ◽  
The State ◽  
Non Destructive Testing ◽  
Testing Methods ◽  
Acoustic Emission Technique ◽  
Destructive Testing ◽  
Machinery Condition Monitoring ◽  
Non Destructive

Acoustic emission (AE) measurements are one of many non-destructive testing methods which had found applications in defects detection in machines. This paper reviews the state of the art in AE based condition monitoring with particular emphasis on rotating and reciprocating machinery applications. Advantages and limitations of the AE technique in comparison to other condition monitoring techniques in detecting common machinery faults are also discussed.

Characterisation of Partial Melting and Solidification of Granite E93/7 by the Acoustic Emission Technique

2008 ◽  
Vol 1107 ◽  
Author(s):  
Lyubka M. Spasova ◽  
Fergus G.F. Gibb ◽  
Michael I. Ojovan
Keyword(s):  
Acoustic Emission ◽  
Phase Transformations ◽  
Partial Melting ◽  
Frequency Spectrum ◽  
Stress Waves ◽  
Radioactive Wastes ◽  
Deep Borehole ◽  
Acoustic Emission Technique ◽  
Ae Signals ◽  
Melting And Solidification

AbstractThe acoustic emission (AE) technique was used to detect and characterise the processes associated with generation of stress waves during melting and solidification of granite E93/7 at a pressure of 0.15 GPa. The AE signals recorded as a result of partial melting of the granite at a temperature of 780°C and subsequent solidification during cooling were distinguished from the equipment noise and their parameters used to characterise the AE sources associated with the phase transformations during melting and solidification of the granite. The mechanisms generating AE during granite melting were differentiated by AE signals with their highest peaks in the frequency spectrum at 170 and 268 kHz. The transformation of the liquid into glass during solidification of the partially melted granite generated AE waves in an essentially broad range of frequencies between 100 and 300 kHz. This preliminary work demonstrates the potential of the AE technique for use in applications related to deep borehole disposal of radioactive wastes.

Sign in / Sign up

Export Citation Format

Share Document