Fault Model-Based Interactive Service Procedure Tool

2011 ◽  
Author(s):  
Kallappa Pattada ◽  
Satnam Singh ◽  
Pulak Bandyopadhyay
Keyword(s):  
Fault Model ◽  
Model Based ◽  
Interactive Service

New Model Based Gas Turbine Fault Diagnostics Using 1D Engine Model and Nonlinear Identification Algorithms

2009 ◽  
Author(s):  
Seyyed Hamid Reza Hosseini ◽  
Hiwa Khaledi ◽  
Mohsen Reza Soltani
Keyword(s):  
Gas Turbine ◽  
Diagnostic System ◽  
Gas Turbine Engine ◽  
Fault Model ◽  
Fault Identification ◽  
Identification System ◽  
Turbine Engine ◽  
Engine Model ◽  
Exhaust Temperature ◽  
Model Based

Gas turbine fault identification has been used worldwide in many aero and land engines. Model based techniques have improved isolation of faults in components and stages’ fault trend monitoring. In this paper a powerful nonlinear fault identification system is developed in order to predict the location and trend of faults in two major components: compressor and turbine. For this purpose Siemens V94.2 gas turbine engine is modeled one dimensionally. The compressor is simulated using stage stacking technique, while a stage by stage blade cooling model has been used in simulation of the turbine. New fault model has been used for turbine, in which a degradation distribution has been considered for turbine stages’ performance. In order to validate the identification system with a real case, a combined fault model (a combination of existing faults models) for compressor is used. Also the first stage of the turbine is degraded alone while keeping the other stages healthy. The target was to identify the faulty stages not faulty components. The imposed faults are one of the most common faults in a gas turbine engine and the problem is one of the most difficult cases. Results show that the fault diagnostic system could isolate faults between compressor and turbine. It also predicts the location of faulty stages of each component. The most interesting result is that the fault is predicted only in the first stage (faulty stage) of the turbine while other stages are identified as healthy. Also combined fault of compressor is well identified. However, the magnitude of degradation could not be well predicted but, using more detailed models as well as better data from gas turbine exhaust temperature, will enhance diagnostic results.

scholarly journals Sliding window assessment for sensor fault model-based diagnosis in inland waterways

2018 ◽  
Vol 51 (5) ◽  
pp. 31-36 ◽  
Author(s):  
P. Segovia ◽  
J. Blesa ◽  
E. Duviella ◽  
L. Rajaoarisoa ◽  
F. Nejjari ◽  
...  
Keyword(s):  
Sliding Window ◽  
Fault Model ◽  
Sensor Fault ◽  
Inland Waterways ◽  
Model Based

Structural abstraction for model-based diagnosis with a strong fault model

2018 ◽  
Vol 161 ◽  
pp. 357-374 ◽  
Author(s):  
Orel Elimelech ◽  
Roni Stern ◽  
Meir Kalech
Keyword(s):  
Fault Model ◽  
Model Based

scholarly journals A Consistent Geological-Seismological Model For Earthquake Occurrence in New Zealand

2021 ◽  
Author(s):  
◽  
Christian Stock
Keyword(s):  
New Zealand ◽  
Active Faults ◽  
Kernel Estimation ◽  
Fault Model ◽  
Strike Slip ◽  
Historical Earthquake ◽  
Earthquake Occurrence ◽  
Model Based ◽  
Adaptive Kernel ◽  
Dynamic Stochastic

<p>For the development of earthquake occurrence models, historical earthquake catalogues and compilations of mapped, active faults are often used. The goal of this study is to develop new methodologies for the generation of an earthquake occurrence model for New Zealand that is consistent with both data sets. For the construction of a seismological earthquake occurrence model based on the historical earthquake record, 'adaptive kernel estimation' has been used in this study. Based on this method a technique has been introduced to filter temporal sequences (e.g. aftershocks). Finally, a test has been developed for comparing different earthquake occurrence models. It has been found that the adaptive kernel estimation with temporal sequence filtering gives the best joint fit between the earthquake catalogue and the earthquake occurrence model, and between two earthquake occurrence models obtained from data from two independent time intervals. For the development of a geological earthquake occurrence model based on fault information, earthquake source relationships (i.e. rupture length versus rupture width scaling) have been revised. It has been found that large dip-slip and strike-slip earthquakes scale differently. Using these source relationships a dynamic stochastic fault model has been introduced. Whereas earthquake hazard studies often do not allow individual fault segments to produce compound ruptures, this model allows the linking of fault segments by chance. The moment release of simulated fault ruptures has been compared with the theoretical deformation along the plate boundary. When comparing the seismological and the geological earthquake occurrence model, it has been found that a 'good' occurrence model for large dip-slip earthquakes is given by the seismological occurrence model using the Gutenberg-Richter magnitude frequency distribution. In contrast, regions dominated by long strike-slip faults produce large earthquakes but not many small earthquakes and the occurrence of earthquakes on such faults should be inferred from the dynamic fault model.</p>

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