A Synchronous Generator Internal Fault Model Based on the Voltage-Behind-Reactance Representation

2009 ◽  
Vol 24 (1) ◽  
pp. 184-194 ◽  
Author(s):  
D.S. Vilchis-Rodriguez ◽  
E. Acha
Keyword(s):  
Synchronous Generator ◽  
Fault Model ◽  
Model Based ◽  
Internal Fault

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

Model-based model predictive control for a direct-driven permanent magnet synchronous generator with internal and external disturbances

2019 ◽  
Vol 42 (3) ◽  
pp. 586-597 ◽  
Author(s):  
Li Shengquan ◽  
Li Juan ◽  
Tang Yongwei ◽  
Shi Yanqiu ◽  
Cao Wei
Keyword(s):  
Permanent Magnet ◽  
Control Method ◽  
Synchronous Generator ◽  
Critical Issue ◽  
Operating Conditions ◽  
Maximum Power ◽  
External Disturbances ◽  
Permanent Magnet Synchronous Generator ◽  
Model Based ◽  
Wide Range

This paper deals with the critical issue in a direct-driven permanent magnet synchronous generator (PMSG)-based wind energy conversion system (WECS): the rejection of internal and external disturbances, including the uncertainties of external environment, rapid wind speed changes in the original parameters of the generator caused by mutative operating conditions. To track the maximum power, a maximum power point tracking strategy based on model predictive controller (MPC) is proposed with extended state observer (ESO) to attenuate the disturbances and uncertainties. In real application, system inertia and the system parameters vary in a wide range with variations of wind speeds and disturbances, which substantially degrade the maximum power tracking performance of wind turbine. The MPC design should incorporate the available model information into the ESO to improve the control efficiency. Based on this principle, a model-based MPC with ESO control structure is proposed in this paper. Simulation study is conducted to evaluate the performance of the proposed control strategy. It is shown that the effect of internal and external disturbances is compensated in a more effective way compared with the ESO-based MPC approach and traditional proportional integral differential (PID) control method.

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
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