scholarly journals IMAGE OF THE SURFACE OF GAS TURBINE BLADE AS A DIAGNOSTIC SIGNAL

2013 ◽  
Vol 7 (4) ◽  
pp. 209-214
Author(s):  
Józef Błachnio ◽  
Iwona Zabrocka
Keyword(s):  
Gas Turbine ◽  
Turbine Blades ◽  
Statistical Parameter ◽  
Digital Processing ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Gas Turbine Blades ◽  
The Status ◽  
Low Pass ◽  
Non Destructive

Abstract This paper outlines a non-destructive method that is suitable for evaluation of condition demonstrated by gas turbine blades and is based on digital processing of images acquired from the blade surface in visible light. To enable high clearness of these images the particular attention is paid to the problem of how to provide optimum conditions for investigations and mitigate geometrical distortions of images acquired from maintenance operations. The paper demonstrates that there are relationships between operation lifetime of blades and discoloration of their surfaces due to overheating of the blade material. These relationships are revealed by digital analysis of images acquired for the blade surfaces and expressed as statistical parameter of the first and second order. To improve unambiguity of the analysis results a low-pass filter was applied. It was demonstrated that these relationships are suitable for evaluation how much the status of the blade material microstructure is altered

scholarly journals Optimal Design of PID-Based Low-Pass Filter for Gas Turbine Using Intelligent Method

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 15335-15345 ◽  
Author(s):  
Mohammad Eslami ◽  
Mohammad Reza Shayesteh ◽  
Majid Pourahmadi
Keyword(s):  
Optimal Design ◽  
Gas Turbine ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Low Pass

scholarly journals Assessment of Technical Condition Demonstrated by Gas Turbine Blades by Processing of Images for Their Surfaces / Oceny Stanu Łopatek Turbiny Gazowej Metodą Przetwarzania Obrazów Ich Powierzchni

2012 ◽  
Vol 21 (1) ◽  
pp. 41-50
Author(s):  
Józef Błachnio ◽  
Jarosław Spychała ◽  
Wojciech Pawlak ◽  
Artur Kułaszka
Keyword(s):  
High Temperature ◽  
Gas Turbine ◽  
Turbine Blades ◽  
Technical Condition ◽  
Test Method ◽  
Statistical Parameters ◽  
Gas Turbine Blades ◽  
First Order ◽  
Alloy Microstructure ◽  
Non Destructive

Abstract The paper presents a non-destructive test method that makes it possible to assess condition of gas turbine blades based on the analysis of their images acquired in visible light. The results of high temperature’s influence on the condition of blades are revealed. The direct relationship between the temperatures of blades and discoloration of their surfaces is demonstrated. These relationships have been found out by the analysis of images in the form of first order statistical parameters derived wherefrom. The studies revealed alterations of the blade superalloy microstructures entailed by the effect of high temperature, hence the results in the form of first order statistical parameters could be correlated against alterations of the blade superalloy microstructures. Eventually, the variations of first order statistical parameters as well as variations of the blade superalloy microstructures could be determined as the functions of temperature. These relationships make it possible to assess how much the alloy microstructure is altered due to high temperature merely by discoloration of the blade surface. The innovative method can be used for in-flight evaluation of the superalloy overheating for gas turbine blades in operation.

scholarly journals Analysis of Feasibility to Assess Microstructure of Gas Turbine Blades by Means of the Thermographic Method

2010 ◽  
Vol 13 (1) ◽  
pp. 325-340 ◽  
Author(s):  
Artur Kułaszka ◽  
Józef Błachnio ◽  
Łukasz Kornas
Keyword(s):  
Gas Turbine ◽  
Turbine Blades ◽  
Turbine Engines ◽  
Destructive Testing ◽  
Initial Examination ◽  
Gas Turbine Blades ◽  
Non Invasive ◽  
Testing Technology ◽  
Non Destructive ◽  
Frequent Reason

Analysis of Feasibility to Assess Microstructure of Gas Turbine Blades by Means of the Thermographic MethodOperation of avionic turbine engines is always associated with possibility of various defects that may happen to turbine components, in particular to its blades. The most frequent reason for defects is overheating of the blade material but the thermal fatigue also occurs quite often. The most efficient examination method that provides plenty of information about structure of the investigated material of turbine blades is metallography but it is a destructive testing technology, so that the turbine no longer can be used after such investigation. This paper deals with methods of non-destructive tests that are currently in use and applicability of such methods to unbiased and trustworthy computer-aided diagnostics aimed to find out how the blade microstructure status varies in time. Results of initial examination of gas turbine blades are presented whereas the tests with use of the non-invasive thermographic method were carried out in order to assess condition of the blade material after the turbines had been subjected to the effect of high temperatures. Subsequently, the obtained results were successfully validated by means of the metallographic method. Eventually the conclusion could be made that the thermographic method makes it possible to achieve comprehensive and trustworthy information how microstructure of the blade materials is altered during the aircraft operation.

scholarly journals The Attempt To Assess The Technical Condition Of A Gas Turbine Blade When Information On Its Operating Condition Is Limited

2014 ◽  
Vol 30 (1) ◽  
pp. 75-86 ◽  
Author(s):  
Józef Błachnio ◽  
Jarosław Spychała ◽  
Wojciech Pawlak ◽  
Dariusz Zasada
Keyword(s):  
Gas Turbine ◽  
Turbine Blade ◽  
Electromagnetic Waves ◽  
Turbine Blades ◽  
Visible Spectrum ◽  
Digital Processing ◽  
Technical Condition ◽  
Gas Turbine Blades ◽  
Metallographic Investigation ◽  
Computer Aided

Abstract The paper discloses a non-invasive method of visual inspection based on processing of images taken for blade surfaces in the spectrum of visible light and then analyzed with the use of a computer-aided technology. The method of computer-aided analysis of images for blade surfaces is presented in details along with the obtained outcome, whilst the results from metallographic investigation of the blade superalloy are disclosed as well. The comparison is made between the results obtained from the analysis of images for blade surface and the results from the metallographic investigation of their structures. Finally, the relationship is established between parameters of digital images taken for surfaces of gas turbine blades in the visible spectrum of electromagnetic waves and microstructural parameters of the turbine blade metal. The completed investigations and analyses reveal that troubleshooting of gas turbine blades, which employs digital processing of images taken for its surface, offers new opportunities to determine the condition of blades after a long-term impact of a working agent at high temperature.

Brain Electrical Signal Digital Processing System Design

2013 ◽  
Vol 278-280 ◽  
pp. 958-961
Author(s):  
Qiu Hui Zhuang ◽  
Guo Jun Liu ◽  
Xiu Hua Fu ◽  
San Qiang Wang
Keyword(s):  
Processing System ◽  
Digital Processing ◽  
Electrical Signal ◽  
Analog Signal ◽  
Digital Signals ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Low Pass ◽  
Amplification System ◽  
Stable Signal

Through the amplification system to extract the brain electrical signal, although already can be displayed, but is not clear; in addition, the analog signal into the computer to carry on the analysis, also must pass to convert analog signals to digital signals (A/D converter).Therefore the need for further use of digital processing, this paper adopts the digital way, on brain electrical analog signal digital filter, through the 40Hz low-pass filter and 50Hz filter, get clear, stable signal, to achieve the design objective.

Design of Programmable Wideband Low Pass Filter with Continuous-Time/Discrete-Time Hybrid Architecture

2017 ◽  
Vol E100.C (10) ◽  
pp. 858-865 ◽  
Author(s):  
Yohei MORISHITA ◽  
Koichi MIZUNO ◽  
Junji SATO ◽  
Koji TAKINAMI ◽  
Kazuaki TAKAHASHI
Keyword(s):  
Discrete Time ◽  
Continuous Time ◽  
Hybrid Architecture ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Low Pass
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