DOI: 10.1016/j.measurement.2019.107142 Corpus ID: 208835279; Turbine blade tip clearance determination using microwave measurement and k-nearest neighbour classifier @article{Aslinezhad2020TurbineBT, title={Turbine blade tip clearance determination using microwave measurement and k-nearest neighbour classifier}, author={Mehdi …
Joshuva A, Sugumaran V (2017a) A comparative study of Bayes classifiers for blade fault diagnosis in wind turbines through vibration signals. Struct Durab Health Monit (SDHM). 12(1):69–90. Google Scholar Chen B, Matthews PC, Tavner PJ (2013) Wind turbine pitch faults prognosis using a-priori knowledge-based ANFIS. Expert Syst Appl …
This paper presents an experimental study into the effects of classifier vane opening integrated with primary air-fuel ratio (1,7:1; 1,8:1; and 1,9:1) to fineness production passed 200 mesh. In this experimental, the effects of opening classifier vane settings and primary airflow to coal fineness particle size and coal flow in coal pipe ...
Numerical simulations by ANSYS-Fluent 19.0, the effects of rotor cage shape, the number of blades, and the... | Classifier, Classification and Accuracy | ResearchGate, the professional network for ...
The blade is an essential component of a gas turbine and a number of studies have reported that 42% of gas turbine defects are caused by turbine blade failure due to fatigue, ... Here, the k-NN classifier is used to define the type and amount of turbine blade failure in which the class label for an unknown pattern is its closest neighbor [30].
At the bottom of the classifier, 10 nozzles were mounted on an annular plate (Fig. 1), serving as the inlet of the gas–solid flow.Two different nozzles, with the nozzle angles (α) of 45° and 90° respectively were used in the experiments, as shown in Fig. 2.The 45° ones induced a swirling flow in the classifier, while the 90° ones induced a direct …
Simulation studies showed that classifier blade length of 313.94 mm at 40° was found to be optimum, with 71.5% of particles passing fine size sieve (75 μm) and 0.1852 sharpness of cut. Classification of fine coal by the optimum classifier model is improved by 10%, as compared to original classifier model used in industry.
Turbine blade tip clearance is monitored with scattering parameters measurement. • S parameters are measured through an open ended circular waveguide.. Scattering parameters are measured in the reactive near-field by Network Analyzer.. The change of resonance frequency is the basis of detection by measuring indices.. Amount …
A rough estimation of the cut sizes x T at the outer classifier blade (R c) follows from the force equilibrium for a single spherical particle. For a classifier speed of 12,000 rpm a cut size x T of 4.4 µm results from Stokes …
Simulation studies showed that classifier blade length of 313.94 mm at 40° was found to be optimum, with 71.5% of particles passing fine size sieve (75 μm) and 0.1852 sharpness of cut.
Simulation studies showed that classifier blade length of 313.94 mm at 40° was found to be optimum, with 71.5% of particles passing fine size sieve (75 μm) and …
The deflector wheel classifier is a widely used device for the separation of fine powders in different industrial applications. The primary objective of the separation process is to achieve high-quality separation of fine powders characterized by a narrow particle size distribution and high separation sharpness. Theoretically, the reduction in …
Simulation studies showed that classifier blade length of 313.94 mm at 40° was found to be optimum, with 71.5% of particles passing fine size sieve (75 μm) and 0.1852 sharpness of cut.
Due to the inadequate pre-dispersion and high dust concentration in the grading zone of the turbo air classifier, a new rotor-type dynamic classifier with air and material entering from the bottom was designed. The effect of the rotor cage structure and diversion cone size on the flow field and classification performance of the laboratory …
6.3 Development of the Cascading Classifier. Cascading classifier comprises of number of stages and used to detect the crack region in the propeller blade based on Haar-like features. At the initial stage, classifier is based upon few sets of Haar-like features to achieve pre-defined false alarm rate.
The effects of classifier blade length and opening angle on coal particle distribution in coal pulverize were numerically investigated. Validation of simulation results with actual plant data was performed. The original blade length of 110.74 mm can classify 64.25% of fine coal particles. The CFD results show that increasing of classifier blade ...
A Maven artifact classifier is an optional and arbitrary string that gets appended to the generated artifact's name just after its version number. It distinguishes the artifacts built from the same POM but differing in content. Let's consider the artifact definition:
c) Blade erosion (BE): This fault is due to the erosion of the top layer of the blade by the high-speed wind. The smooth surface of the blade was eroded using emery sheet (320Cw) to provide an erosion effect on the blade. d) Hub-blade loose contact: This fault generally occurs on a wind turbine blade due to an excessive runtime or usage time.
Simulation studies showed that classifier blade length of 313.94 mm at 40° was found to be optimum, with 71.5% of particles passing fine size sieve (75 μm) and 0.1852 sharpness of cut ...
The Bradley Vertical Blade Classifier (VBC) is designed to separate extremely fine powders direct from any airswept mill. Dynamic classifiers such as the VBC, provide …
In order to achieve complete combustion of fuel in common thermal power plant, the process of coal fuel classification is crucial, which often governs by classifier in pulverizer. This is because smaller size of coal particle has higher surface area,
Simulation studies showed that classifier blade length of 313.94 mm at 40° was found to be optimum, with 71.5% of particles passing fine size sieve (75 μm) and 0.1852 sharpness of cut.
Request PDF | Selection of a meta classifier-data model for classifying wind turbine blade fault conditions using histogram features and vibration signals: a data-mining study | The modern ...
A Comparative Study of Bayes Classifiers for Blade Fault Diagnosis in Wind Turbines through Vibration Signals. December 2017; Structural Durability & Health Monitoring 12(1) Authors:
In this investigation, modification of coal pulverizer classifier with new geometries were proposed, by extending the classifier blade into four different lengths: 4.36", 8.36", 12.36" and 16.36". Computational fluid dynamics (CFD) modelling was used to investigate the effects of classifier blade length to coal particles size distribution at ...
The straight guide blade of a turbo air classifier was modified to obtain ultrafine powder with narrow particle size distribution, and to improve classification …
Request PDF | On Jan 1, 2020, R. Saveeth and others published HCCD: Haar-Based Cascade Classifier for Crack Detection on a Propeller Blade | Find, read and cite all the research you need on ...
A novel icing detection method based on multi-feature and multi-classifier fusion that can achieve more accurate detection on blade icing, compared with other models, will minimize false alarms, helping wind farms manage the operations more efficiently. Wind farms are usually located in high altitude areas with a high probability of …
The principal tenacity of the current research is to characterize distinct blade flaws by statistical metrics acquired from vibration signals. The Machine Learning(ML) method for classification includes attribute mining, proper attribute choice, and attribute taxonomy. ... J Rip, One R, and Part Rules classifiers use to categorize ...
Download scientific diagram | Classification efficiency for different classifier blade angles. from publication: INVESTIGATION ON CLASSIFICATION EFFICIENCY FOR COAL-FIRED POWER PLANT CLASSIFIERS ...
Synchronized classifier blade angles and lengths. Inverted cone to classifier clearances. Classifier outlet cylinder length and flared opening. 11.
1. A roller mill having a rotary classifier built-in, wherein a seal air supply mechanism for discharging seal air into a gap formed between a large-diameter portion of a blade of the rotary classifier and a blade guide is provided. A roller mill with a built-in rotary classifier. 2. The rotation according to claim 1, wherein the seal air ...
The steepest classifier blade angle of 40 o achieved the highest quality of classification where 61.70% of the coal particles are less than 75 μm. Meanwhile, the classification efficiency dipped...
CFD based investigation on effect of classifier blade length to coal particle distribution in coal pulverizer. Hasril Hasini. 2018. See Full PDF Download PDF.
The straight guide blade of a turbo air classifier was modified to obtain ultrafine powder with narrow particle size distribution, and to improve classification precision. The modification ...
From the grizzly to the burner tip, the pulverizer plays an essential role in maximizing the consistency of fuel delivered to the steam generator. Most existing pulverizers—both the vertical-shaft and ball-mill types—come with a static classifier. Its blades reject coarse particles to produce a stream of coal particles …See more on powermag
WEBThe 24 blades of the classifier have an inner radius of 60 mm, an outer radius of 100 mm, and a height of 40 mm. During the classifying process, coarse …
Simulation studies showed that classifier blade length of 313.94 mm at 40° was found to be optimum, with 71.5% of particles passing fine size sieve (75 μm) and 0.1852 …
The simulation studies showed that the optimum blade length was found to be 12.36". The simulated classifier is able to achieve 71.5% of particles passing 75 µm …
In general, a classifier with a minimum blade opening angle at 40° gives the highest coal fineness output, regardless of the different blade lengths. In this case, the …
