scholarly journals Condition Assessment of Industrial Gas Turbine Compressor Using a Drift Soft Sensor Based in Autoencoder

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2708
Author(s):  
Martí de Castro-Cros ◽  
Stefano Rosso ◽  
Edgar Bahilo ◽  
Manel Velasco ◽  
Cecilio Angulo
Keyword(s):  
Gas Turbine ◽  
Good Condition ◽  
Condition Assessment ◽  
Soft Sensor ◽  
Soft Sensors ◽  
Gas Turbine Compressor ◽  
Industrial Gas Turbine ◽  
Long Term Performance ◽  
Changes Over Time ◽  
Term Performance

Maintenance is the process of preserving the good condition of a system to ensure its reliability and availability to perform specific operations. The way maintenance is nowadays performed in industry is changing thanks to the increasing availability of data and condition assessment methods. Soft sensors have been widely used over last years to monitor industrial processes and to predict process variables that are difficult to measured. The main objective of this study is to monitor and evaluate the condition of the compressor in a particular industrial gas turbine by developing a soft sensor following an autoencoder architecture. The data used to monitor and analyze its condition were captured by several sensors located along the compressor for around five years. The condition assessment of an industrial gas turbine compressor reveals significant changes over time, as well as a drift in its performance. These results lead to a qualitative indicator of the compressor behavior in long-term performance.

Numerical Simulation of Blade Fault Signatures From Unsteady Wall Pressure Signals

1997 ◽  
Vol 119 (2) ◽  
pp. 362-369 ◽  
Author(s):  
V. Dedoussis ◽  
K. Mathioudakis ◽  
K. D. Papailiou
Keyword(s):  
Numerical Simulation ◽  
Flow Field ◽  
Gas Turbine ◽  
Wall Pressure ◽  
Operating Point ◽  
Calculation Time ◽  
Rotating Blades ◽  
Time Signals ◽  
Gas Turbine Compressor ◽  
Industrial Gas Turbine

A method for establishing signatures of faults in the rotating blades of a gas turbine compressor is presented. The method employs a panel technique for the calculation of the flow field around blade cascades, with disrupted periodicity, a situation encountered when a blade fault has occurred. From this calculation, time signals of the pressure at a location on the casing wall, facing the rotating blades, are constituted. Processing these signals, in combination with “healthy” pressure signals, allows the constitution of fault signatures. The proposed method employs geometric data, as well as data about the operating point of the engine. It gives the possibility of establishing the fault signatures without the need of performing experiments with implanted faults. The successful application of the method is demonstrated by comparison of signatures obtained by simulation to signatures derived from experiments with implanted blade faults, in an industrial gas turbine.

scholarly journals Optimizing Automated Gas Turbine Fault Detection Using Statistical Pattern Recognition

1992 ◽  
Author(s):  
E. Loukis ◽  
K. Mathioudakis ◽  
K. Papailiou
Keyword(s):  
Decision Making ◽  
Pattern Recognition ◽  
Gas Turbine ◽  
Statistical Pattern Recognition ◽  
Dynamic Measurements ◽  
Statistical Pattern ◽  
Gas Turbine Compressor ◽  
Industrial Gas Turbine ◽  
Spectral Patterns ◽  
Automated Decision Making

A method enabling the automated diagnosis of Gas Turbine Compressor blade faults, based on the principles of statistical pattern recognition is initially presented. The decision making is based on the derivation of spectral patterns from dynamic measurements data and then the calculation of discriminants with respect to reference spectral patterns of the faults while it takes into account their statistical properties. A method of optimizing the selection of discriminants using dynamic measurements data is also presented. A few scalar discriminants are derived, in such a way that the maximum available discrimination potential is exploited. In this way the success rate of automated decision making is further improved, while the need for intuitive discriminant selection is eliminated. The effectiveness of the proposed methods is demonstrated by application to data coming from an Industrial Gas Turbine while extension to other aspects of Fault Diagnosis is discussed.

Gas Turbine Compressor Dependability and Risk Mitigation Measures

2013 ◽  
Author(s):  
John R. Scheibel ◽  
Robert P. Dewey ◽  
Leonard Angello ◽  
Josh Barron
Keyword(s):  
Gas Turbine ◽  
Risk Mitigation ◽  
Acoustic Emissions ◽  
Mitigation Measures ◽  
Pressure Pulsations ◽  
Case Histories ◽  
Specific Component ◽  
Analysis And Evaluation ◽  
Gas Turbine Compressor ◽  
Industrial Gas Turbine

This paper addresses recent industrial gas turbine compressor dependability issues and risk mitigation measures viewed from the end user’s perspective. Industrial reliability-availability-maintainability statistics related to power generation applications are reviewed. Several case histories with specific component issues involving blades and vanes are covered. Case histories are used to summarize field experience, engineering analysis and evaluation of related design and operating modifications as appropriate. Recent progress with setting up a field monitoring demonstration using pressure pulsations, vibration and acoustic emissions is summarized.

scholarly journals Loss in Axial Compressor Bleed Systems

2019 ◽  
Author(s):  
S. D. Grimshaw ◽  
J. Brind ◽  
G. Pullan ◽  
R. Seki
Keyword(s):  
Gas Turbine ◽  
Control Volume ◽  
Axial Compressor ◽  
Thermodynamic Cycle ◽  
Loss Coefficient ◽  
Dynamic Head ◽  
Definition Of ◽  
Gas Turbine Compressor ◽  
Industrial Gas Turbine ◽  
Loss Mechanisms

Abstract Loss in axial compressor bleed systems is quantified, and the loss mechanisms identified, in order to determine how efficiency can be improved. For a given bleed air pressure requirement, reducing bleed system loss allows air to be bled from further upstream in the compressor, with benefits for the thermodynamic cycle. A definition of isentropic efficiency which includes bleed flow is used to account for this. Two cases with similar bleed systems are studied: a low-speed, single-stage research compressor and a large industrial gas turbine high-pressure compressor. A new method for characterising bleed system loss is introduced, using research compressor test results as a demonstration case. A loss coefficient is defined for a control volume including only flow passing through the bleed system. The coefficient takes a measured value of 95% bleed system inlet dynamic head, and is shown to be a weak function of compressor operating point and bleed rate, varying by ±2.2% over all tested conditions. This loss coefficient is the correct non-dimensional metric for quantifying and comparing bleed system performance. Computations of the research compressor and industrial gas turbine compressor identify the loss mechanisms in the bleed system flow. In both cases, approximately two-thirds of total loss is due to shearing of a high-velocity jet at the rear face of the bleed slot, one quarter is due to mixing in the plenum chamber and the remainder occurs in the off-take duct. Therefore, the main objective of a designer should be to diffuse the flow within the bleed slot. A redesigned bleed slot geometry is presented that achieves this objective and reduces the loss coefficient by 31%.

Package Design for a 5500 BHP Aeroderivative Industrial Gas Turbine

1997 ◽  
Author(s):  
Douglas L. Wenzel ◽  
Jeffrey M. Elmore
Keyword(s):  
Gas Turbine ◽  
New Product Development ◽  
Gas Generator ◽  
Package Design ◽  
Power Turbine ◽  
Total Product ◽  
Design Cycle ◽  
Management Techniques ◽  
Gas Turbine Compressor ◽  
Industrial Gas Turbine

The Cooper-Bessemer Rotating Products group of Cooper Energy Services has designed an all-new industrial gas turbine / compressor package based upon the Allison Engine Company 501-KC5 gas generator with a two-stage industrial power turbine. The latest project management techniques were employed to reduce design cycle time while optimizing total product quality, manufacturability, and reliability. The resulting gas turbine / compressor package is a low-risk, technologically conservative approach, designed to avoid the problems often associated with new product development.

scholarly journals Data Analytics for Performance Monitoring of Gas Turbine Engine

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Yuan Liu ◽  
Avisekh Banerjee ◽  
Thambirajah Ravichandran ◽  
Amar Kumar ◽  
Glenn Heppler
Keyword(s):  
Gas Turbine ◽  
Performance Monitoring ◽  
Gas Turbine Engine ◽  
Short Term ◽  
Turbine Engine ◽  
Free Data ◽  
Performance Deterioration ◽  
Long Term Performance ◽  
Term Performance

Performance analysis of a low power rating and partially loaded industrial gas turbine engine (GTE) was carried out by using a model-free data analytic approach. By adopting an efficient input selection method, several performance indices (PI) are proposed to quantify the performance of the GTE. These indices are extracted using engine operating data related to power output and parameters related to fuel consumption, and validated with engine performance monitoring measurements for a three year period corresponding to one time between overhaul intervals. The dependency of the PIs on ambient temperature has been studied by using linear and polynomial fitting curves. Then novel methods are introduced for analysis of short-term and long-term performance deterioration arising from compressor fouling and structural degradation respectively. The results have clearly shown the ability of the proposed PIs to detect short-term compressor fouling as well as long-term performance deterioration, which is directly relevant to the Prognostics and Health Management of gas turbine engine.

Adaptive Simulation of Gas Turbine Performance

1990 ◽  
Vol 112 (2) ◽  
pp. 168-175 ◽  
Author(s):  
A. Stamatis ◽  
K. Mathioudakis ◽  
K. D. Papailiou
Keyword(s):  
Gas Turbine ◽  
Health Monitoring ◽  
Condition Assessment ◽  
Performance Model ◽  
Adaptation Process ◽  
Turbine Performance ◽  
Adaptive Simulation ◽  
Novel Approach ◽  
Industrial Gas Turbine

A method is presented allowing the simulation of gas turbine performance with the possibility of adapting to engine particularities. Measurements along the gas path are used, in order to adapt a given performance model by appropriate modification of the component maps. The proposed method can provide accurate simulation for engines of the same type, differing due to manufacturing or assembly tolerances. It doesn’t require accurate component maps, as they are derived during the adaptation process. It also can be used for health monitoring purposes, introducing thus a novel approach for component condition assessment. The effectiveness of the proposed method is demonstrated by application to an industrial gas turbine.

Leakage-Induced Compressor Blade Excitation due to Inter-Segment Gaps

2012 ◽  
Author(s):  
Ronnie Bladh ◽  
Qingyuan Zhuang ◽  
Jiasen Hu ◽  
Johan Hammar
Keyword(s):  
Gas Turbine ◽  
Flow Speed ◽  
Rotor Blades ◽  
Unsteady Forces ◽  
Leakage Flows ◽  
Engine Order ◽  
Time Marching ◽  
Gas Turbine Compressor ◽  
Industrial Gas Turbine ◽  
Different Sources

A comprehensive investigation is presented related to leakage-induced blade excitation from shrouded vane segments found in industrial gas turbine compressors. The focus of the investigation is to explore the excitation mechanism acting on downstream rotor blades that stem from the particularly complex leakage flows around the hub inter-segment gaps. The aerodynamic forces are here determined using 3D nonlinear time-marching CFD simulations. The employed computational model encompasses the two rear-most stages in an existing industrial gas turbine compressor. The inter-segment gap is implemented in the next-to-last stator, varying from no gap to twice the nominal gap size. Obtained results indicate that the excitation induced by the inter-segment gap leakage flows is distinctly multi-harmonic and unexpectedly strong. As much as five times the excitation strength of upstream wakes was observed already for the nominal gap. The induced unsteady forces were found to derive from two different sources: (i) a large separation producing local forcing in the hub region; and (ii) circumferentially varying flow speed resulting in distributed forcing over the entire blade. The findings imply that the excitation induced by inter-segment gap leakage flows can be a significant contributor to blade vibratory responses in the intermediate engine order range, and thereby add to the knowledge base related to blade dynamic integrity.

scholarly journals Lime-based Sacrificial Layers – Evaluation of a Traditional Conservation Method Applied in an Urban Environment

2021 ◽  
Author(s):  
Farkas Pinter ◽  
Katharina Fuchs
Keyword(s):  
Sacrificial Layer ◽  
Good Condition ◽  
Water Repellent ◽  
History Museum ◽  
Roof Area ◽  
Sustainable Conservation ◽  
Highly Hydrophobic ◽  
Long Term Performance ◽  
Term Performance ◽  
Conservation Method

The use of modified lime slurry as a sacrificial layer to protect the original porous substrate has a long tradition in the practice of building and monument conservation in Austria. This paper presents the results of analyses performed on the Natural History Museum Vienna to get more insight into the long-term performance of this conservation method. Stone surfaces on the facade and roof area, covered with an acrylic tempered lime sacrificial layer and subsequently made water-repellent, were tested in situ and in the laboratory. Whilst coatings in the exposed zones were completely vanished in certain areas, the samples from the facade were in a good condition even after nearly twenty years of exposure. Hydrophobic activity could be verified up to a depth of five mm in the porous stone substrates. Despite the general good state of preservation of most surfaces, the existence of highly hydrophobic substrates will definitely restrict the implementation of any future sustainable conservation effort.

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