scholarly journals Detection of damage to the power supply system of diesel engine under field conditions

2017 ◽  
Vol 170 (3) ◽  
pp. 159-163
Author(s):  
Paweł MAZURUK ◽  
Marcin WOJS ◽  
Piotr ORLIŃSKI ◽  
Mieczysław SIKORA
Keyword(s):  
Acoustic Emission ◽  
Acoustic Emission Signal ◽  
Internal Combustion Engines ◽  
Fuel Injection ◽  
Injection System ◽  
Combustion Engines ◽  
Coefficient Variation ◽  
Emission Signal ◽  
Third Phase ◽  
The Relationship

Fuel injection system damages is a major problem for internal combustion engines. Approximately 70% of the injection system malfunction is due to injector damages. Authors of the article tested an uniqe method of diagnosis injectors by using an acoustic emission. The acoustic emission signal (EA) is a phenomenon used in various field of technology and it is a wave generated in solid materials. The EA signal was measured during operation of damaged and undamaged injectors body in a few series, analized and verified in term of result obtain in response signals. The relationship between the acoustic emission signal and the injectors operating phases has been determined. On base of coefficient variation of the duration in the third phase the value of which increases substantially when the injectors are damaged were found in ranges of 45%. For corect working injectors value of coefficient variation were found in range from 21% to 37%.

scholarly journals The Use of Acoustic Emission to Diagnosis of Fuel Injection Pumps of Marine Diesel Engines

Energies ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4661 ◽  
Author(s):  
Artur Bejger ◽  
Jan Bohdan Drzewieniecki
Keyword(s):  
Acoustic Emission ◽  
Condition Monitoring ◽  
Diesel Engines ◽  
Acoustic Emission Signal ◽  
Fuel Injection ◽  
Emission Signal ◽  
Marine Diesel ◽  
Frequency Components ◽  
Condition State ◽  
Ae Signals

The article draws attention to the problems of maintaining fuel injection pumps of marine diesel engines in the conditions of the use of residual fuels in which the quality is steadily deteriorating. The analysis of tribological processes occurring in hydraulic precision pairs of fuel injection pumps, such as a barrel-plunger, is presented. Problems occurring regarding the operation of injection pumps and the possibilities of their avoidance on board are discussed. The means of condition monitoring, including the application of thermography methods, are characterized. The authors have done research concerning diagnosing injection systems of high and medium power engines by using acoustic emission (AE) signals. The experiment results obtained with the use of acoustic emission and wavelet analysis confirmed the dependency of the frequency components contained in the acoustic emission signal on the condition state of the injector pumps’ tribological pair.

Discussion on the Relationship between Rockburst Proneness of Rock and its AE b-Value

2011 ◽  
Vol 137 ◽  
pp. 398-402
Author(s):  
Guang Zhang ◽  
Mo Xiao Li ◽  
Jing Xi Chen
Keyword(s):  
Acoustic Emission ◽  
Acoustic Emission Signal ◽  
Peak Stress ◽  
B Value ◽  
Uniaxial Compression Test ◽  
B Values ◽  
Emission Signal ◽  
Whole Process ◽  
In The Beginning ◽  
The Relationship

In order to strengthen the study on rockburst prediction and inquire the relationship between rockburst proneness of rock and its AE b-value, we select three typical rocks of volcanic, sedimentary, and metamorphic to conduct indoor rock mechanics test. Uniaxial compression test are carried to calculate the rockburst proneness of three kinds of rocks, at the meantime we collect the acoustic emission signal during the whole process by acoustic emission instrument. After analyzing the different AE features of all kinds of rocks, we find that the AE b-values of three kinds of rocks both develop in the beginning of two different loading conditions. The AE b-values of marble and sandstone change in a more stable way, and the b-value of granite decline at the 50% of the peak stress. The b-value of granite is the biggest and the sandstone’s is the smallest.

Research of the cold resistance of metals by indentation with registration of an acoustic emission signal

2020 ◽  
pp. 61-64
Author(s):  
Yu.G. Kabaldin ◽  
A.A. Khlybov ◽  
M.S. Anosov ◽  
D.A. Shatagin
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Acoustic Emission ◽  
Acoustic Emission Signal ◽  
Low Temperatures ◽  
Cold Resistance ◽  
Emission Signal ◽  
Impact Bending ◽  
Artificial Neural

The study of metals in impact bending and indentation is considered. A bench is developed for assessing the character of failure on the example of 45 steel at low temperatures using the classification of acoustic emission signal pulses and a trained artificial neural network. The results of fractographic studies of samples on impact bending correlate well with the results of pulse recognition in the acoustic emission signal. Keywords acoustic emission, classification, artificial neural network, low temperature, character of failure, hardness. [email protected]

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