scholarly journals Application of Blade-Tip Sensors to Blade-Vibration Monitoring in Gas Turbines

10.5772/29550 ◽  
2012 ◽  
Author(s):  
Ryszard Szczepanik ◽  
Radosaw Przysowa ◽  
Jarosaw Spychaa ◽  
Edward Rokicki ◽  
Krzysztof Kazmierczak ◽  
...  
Author(s):  
Jindrich Liska ◽  
Vojtech Vasicek ◽  
Jan Jakl

Ensuring the reliability of the steam turbine is the key for its long life. For this purpose monitoring systems are standardly used. Early detection of any failure can avoid possible economical and material losses. A monitoring of rotating blades vibration belongs to the very important tasks of the turbomachinery state assessment. Especially in terms of the last stages of low-pressure part, where the longest blades are vibrating at most. Commonly used methods for blade vibration monitoring are based on contact measurement using strain gauges or non-contact approach based on blade tip timing measurement. Rising demand for low-cost monitoring systems has initiated development of a new approach in blade vibration monitoring task. The presented approach is based on usage of relative rotor vibration signals. Its advantage is in using of standardly installed sensors making this approach economically interesting for the turbine operators compared to the traditionally used methods, mentioned above. This paper summarizes the symptoms of blade vibration phenomenon in relative shaft vibration signals, the impact of operating conditions on the blade vibration amplitude and its comparison to blade tip-timing measurement results. In addition of several examples, the article also describes an evaluation of proposed method in operation of steam turbine with power of 170MW.


Sensors ◽  
2015 ◽  
Vol 15 (2) ◽  
pp. 2419-2437 ◽  
Author(s):  
Zheng Hu ◽  
Jun Lin ◽  
Zhong-Sheng Chen ◽  
Yong-Min Yang ◽  
Xue-Jun Li

2016 ◽  
Vol 81 ◽  
pp. 250-258 ◽  
Author(s):  
Jun Lin ◽  
Zheng Hu ◽  
Zhong-Sheng Chen ◽  
Yong-Min Yang ◽  
Hai-Long Xu

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
William L. Murray ◽  
Nicole L. Key

Blade row interactions in turbomachinery can lead to blade vibrations and even high cycle fatigue. Forced response conditions occur when a forcing function (such as impingement of stator wakes) occurs at a frequency that matches the natural frequency of a blade. The objective of this research is to develop the data processing techniques needed to detect rotor blade vibration in a forced response condition from stationary fast-response pressure transducers to allow for detection of rotor vibration from transient data and lead to techniques for vibration monitoring in gas turbines. This paper marks the first time in the open literature that engine-order resonant response of an embedded bladed disk in a 3-stage intermediate-speed axial compressor was detected using stationary pressure transducers. Experiments were performed in a stage axial research compressor focusing on the embedded rotor of blisk construction. Fourier waterfall graphs from a laser tip timing system were used to detect the vibrations after applying signal processing methods to uncover these pressure waves associated with blade vibration. Individual blade response was investigated using cross covariance to compare blade passage pressure signatures through resonance. Both methods agree with NSMS data that provide a measure of the exact compressor speeds at which individual blades enter resonance.


2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Haonan Guo ◽  
Yongmin Yang ◽  
Fengjiao Guan ◽  
Haifeng Hu ◽  
Guoji Shen ◽  
...  

During the working process of the turbine, some types of faults can cause changes in the vibration characteristics of the blades. The real-time vibration monitoring of the blades is of great significance to the stable operation and state-based maintenance. Torsional vibration is a kind of blade vibration modes and results in failures such as cracks easily. Thus, it is important to measure it due to the harmfulness of torsional vibration. Firstly, the principle of blade tip timing (BTT) is introduced, and the models of the blade are built to analyze the characteristics of torsional vibration. Then, the compressed sensing theory is introduced, and its related parameters are determined according to the measurement requirements. Next, based on the condition that the blade rigidity axis is not bent and bent, respectively, the layout method of sensors is proposed and the numerical simulation of the measurement process is performed. The results of the above two types of numerical simulation verify the proposed measurement method. Finally, by analyzing the influencing factors of measurement uncertainty, the optimization method of sensors’ layout is further proposed. This study can provide important theoretical guidance for the measurement of blade torsional vibration.


Author(s):  
Bin Zhou

Losses of gas turbines and steam turbines in the power generation industry are often due to mechanical breakdowns associated with flow-path component damage, especially on rotating blades. Advanced condition monitoring technologies, such as Noncontact Blade Vibration Monitoring (NBVM), have been shown to effectively detect abnormal behaviors of blades during turbine operation, and thus help to mitigate the turbine loss. Following a brief review of the technology, this paper focuses on results of analyses performed using FM Global’s turbine loss data. Loss events were categorized according to different blade damage mechanisms, turbine types and damage locations; and analyzed in order to identify the realizable benefits through noncontact blade monitoring. Based on the results of the analysis, field applications of the technology for improvement of long-term turbine condition monitoring are discussed.


2019 ◽  
Vol 137 ◽  
pp. 01040
Author(s):  
Piotr Kowaleczko ◽  
Romuald Rządkowski ◽  
Leszek Kubitz ◽  
Paweł Troka ◽  
Paweł Kowaleczko ◽  
...  

One of the crucial issues regarding turbine maintenance is registering blade vibrations. These vibrations can cause serious damage to the engine. Turbine blade vibrations were measured during nominal speed as well as during run up and run down. A new, low cost Blade Tip Timing (BTT) is presented in this paper. It composes of two main modules: the FPGA unit and PC unit. The system is based on the TerasIC DE0-CV development board controlled by the Cyclone V 5CEBA4F23C7 chip. Units communicate via an Ethernet interface. The system measures a signal for every revolution as well as up to three signals coming from independent rotor blade sensors. The PC unit records these data in .csv files. The system can be adapted to process the signals of additional sensors. The measurements of the 1st stage compressor blade vibrations in an SO-3 engine prove that the system works correctly, with no data loss during transmission between system units, and compares well with other measurement systems as well as numerical results.


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