scholarly journals A Data-Logging and Performance Analysis System for Application to Industrial Gas Turbines

1983 ◽  
Author(s):  
S. Timperley ◽  
M. K. D. Smith
Keyword(s):  
Performance Analysis ◽  
Gas Turbines ◽  
The Other ◽  
Acceptance Testing ◽  
Data Logging ◽  
Industrial Gas Turbines ◽  
Engine Testing ◽  
And Performance ◽  
Analysis System

Ruston Gas Turbines is a manufacturer of industrial gas turbines. Present models are in the power range 1.3 MW to 6.5 MW, and engine testing is performed on two separate sites, one for acceptance testing of production engines, the other for development testing.

Condition Monitoring of Combustion System on Industrial Gas Turbines Based on Trend and Noise Analysis

2017 ◽  
Author(s):  
Yu Zhang ◽  
Miguel Martínez-García ◽  
Mike Garlick ◽  
Anthony Latimer ◽  
Samuel Cruz-Manzo
Keyword(s):  
Condition Monitoring ◽  
Gas Turbines ◽  
Noise Analysis ◽  
Warning System ◽  
The Other ◽  
Training Data ◽  
Combustion System ◽  
Industrial Gas Turbines ◽  
Industrial Level ◽  
Experimental Trials

In this paper, a scheme of an ‘early warning’ system is developed for the combustion system of Industrial Gas Turbines (IGTs), which attains low computational workload and simple programming requirements, being therefore employable at an industrial level. The methodology includes trend analysis, which examines when the measurement shows different trends from the other measurements in the sensor group, and noise analysis, which examines when the measurement is displaying higher levels of noise compared to those of the other sensors. In this research, difficulties encountered by other data-driven methods due to temperature varying with load conditions of the IGT’s have also been overcome by the proposed approach. Furthermore, it brings other advantages, for instance, no historic training data is needed, and there is no requirement to set thresholds for each sensor in the system. The efficacy and effectiveness of the proposed approach has been demonstrated through experimental trials of previous pre-chamber burnout cases. And the resulting outcomes of the scheme will be of interest to IGT companies, especially in condition monitoring of the combustion system. Future work and possible improvements are also discussed at the end of the paper.

GT26 2006 Turbine Stage 1 Blade Reconditioning Development and Qualification at Ansaldo Repair Centre

2021 ◽  
Author(s):  
Elisa Mela ◽  
Federico Fignino ◽  
Alessio Gabrielli ◽  
Paola Guarnone ◽  
Emanuele Porro ◽  
...  
Keyword(s):  
Gas Turbines ◽  
Base Material ◽  
Repair Process ◽  
Market Demand ◽  
Technology Improvement ◽  
Industrial Gas Turbines ◽  
And Performance ◽  
Stage 1 ◽  
Welding Procedure ◽  
Repair Techniques

Abstract The evolution of industrial gas turbines towards increased efficiency and performance requires even higher operating temperatures for the engines. In order to remain competitive in the market, OEM companies continuously need to develop maintenance programs and repair technologies able to extend the life of these components as much as possible. The repair technology improvement is fundamental to reduce scrap rates and maintenance costs to be competitive on the market. The Ansaldo Repair Centre answers to this market demand by providing advanced and competitive repair techniques and an increasing broad repair portfolio to its customers. This paper describes the steps and approach to determine the repair process of GT26 LPT Blade 1 in order to allow the component to run another service interval. The base material status and the indication found after service was used as the foundation for a development of a dedicated repair sequence from stripping, to suitable heat treatments, to enhanced repair technique to recoating of the blade. Particular attention was paid to the most damaged area, for which a particular welding procedure including an optimized filler material has been applied for the rebuilding of the tip and platform zones as well as for the restoration of the unique tip closing features.

Data mining artificial intelligence technology for college english test framework and performance analysis system

2020 ◽  
pp. 1-11
Author(s):  
Lin Shen
Keyword(s):  
Data Mining ◽  
Performance Analysis ◽  
Evaluation Model ◽  
Diagnostic Evaluation ◽  
Test Paper ◽  
Test Question ◽  
College English ◽  
Question Recommendation ◽  
And Performance ◽  
Analysis System

This article first studies and designs the college English test framework and performance analysis system. The author analyzes a large number of data collected by the system in three dimensions: using data mining title association models, using machine learning to merge college English score prediction models, and finally diagnosing on the basis of the sexual evaluation model, the author designed and implemented a test paper algorithm based on the association rules of the question type, and carried out relevant verification from the three aspects of test paper time, test question recommendation and improvement according to scores. Finally, according to the needs analysis, the author uses the diagnostic evaluation model and related test paper algorithm to design and implement the diagnostic evaluation model, which is added to the college English diagnostic practice system. It can be obtained through comparative experiments that the paper-based algorithm based on the diagnostic evaluation model proposed in this paper can effectively give better practice guidance and test question recommendation to the learner’s learning status and knowledge point problem obstacles, and can effectively improve learning. The achievements of the authors have broad application prospects and research value.

The Effects of Inerts on Emissions and Performance of an Industrial Engine

1989 ◽  
Author(s):  
A. P. Rajput ◽  
P. J. Hurd ◽  
R. D. Wood
Keyword(s):  
Gas Turbines ◽  
Landfill Gas ◽  
Steam Injection ◽  
Gaseous Fuels ◽  
Thermodynamic Performance ◽  
Industrial Gas Turbines ◽  
And Performance ◽  
Emissions And Performance

Gaseous fuels such as landfill gas contain significant quantities of inerts, typically CO2 and N2. This can lead to difficulties in predicting the emission and thermodynamic performance of industrial gas turbines. An algorithm has been developed to predict emissions of NOx for known quantities of inerts and effects on performance quantified. The effect of steam injection is compared to that of inerts and a relationship established.

Clearance Reduction and Performance Gain Using Abradable Material in Gas Turbines

2008 ◽  
Author(s):  
Iacopo Giovannetti ◽  
Manuele Bigi ◽  
Massimo Giannozzi ◽  
Dieter R. Sporer ◽  
Filippo Cappuccini ◽  
...  
Keyword(s):  
Gas Turbines ◽  
Leakage Flow ◽  
Performance Gain ◽  
Tip Leakage Flow ◽  
Tip Leakage ◽  
Hot Gas ◽  
Industrial Gas Turbines ◽  
Basic Parameters ◽  
Component Shape ◽  
And Performance

An improvement in the energy efficiency of industrial gas turbines can be accomplished by developing abradable seals to reduce the stator/rotor gap to decrease the tip leakage flow of gases in the hot gas components of the turbine. “ABRANEW” is a project funded by the European Commission aimed at developing a high temperature abradable material capable of controlled abrasion and resistant to erosion and oxidation. In order to define the basic parameters such as the component shape, the existing gap, the expected gap reduction, the seal thickness and other geometric parameters, a comprehensive review of the design of the blade/shroud/casing system was performed.

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